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AI Architect/ Senior AI Engineer_ LLMOps_ 5 to 10 yrsIt's fun to work in a company where people truly BELIEVE in what they are doing!We're committed to bringing passion and customer focus to the business.It's fun to work in a company where people truly BELIEVE in what they are doing!We're committed to bringing passion and customer focus to the business.Job Location: Bangalore, Mumbai, Pune, Gurgaon, Chennai, Noida, Hyderabad, Coimbatore Role Brief:<ul><li>You will be building curated enterprise grade solutions for GenAI application deployment at a production scale for clients. Solid understanding and hands on skills for GenAI application deployment that includes development and engineering skills. The role requires development and engineering skills on GenAI application development including data ingestion, choosing the right fit LLMs, simple and advanced RAG, guardrails, prompt engineering for optimisation, traceability, security, LLM evaluation, observability, and deployment at scale on cloud or on premise. As this space evolves very rapidly, candidates must also demonstrate knowledge on agentic AI frameworks. Candidates having strong background on ML with engineering skills is highly preferred for LLMOps role</li></ul> Required Qualifications: <ul><li>5-10 years of experience in working on ML projects that includes business requirement gathering, model development, training, deployment at scale and monitoring model performance for production use cases</li><li>Strong knowledge on Python, NLP, Data Engineering, Langchain, Langtrace, Langfuse, RAGAS, AgentOps (optional)</li><li>Should have worked on proprietary and open-source large language models</li><li>Experience on LLM fine tuning, creating distilled model from hosted LLMs</li><li>Building data pipelines for model training</li><li>Experience on model performance tuning, RAG, guardrails, prompt engineering, evaluation, and observability</li><li>Experience in GenAI application deployment on cloud and on-premises at scale for production</li><li>Experience in creating CI/CD pipelines</li><li>Working knowledge on Kubernetes</li><li>Experience in minimum one cloud: AWS / GCP / Azure to deploy AI services</li><li>Experience in creating workable prototypes using Agentic AI frameworks like CrewAI, Taskweaver, AutoGen</li><li>Experience in light weight UI development using streamlit or chainlit (optional)</li><li>Desired experience on open-source tools for ML development, deployment, observability, and integration</li><li>Background on DevOps and MLOps will be a plus</li><li>Experience working on collaborative code versioning tools like GitHub/GitLab</li><li>Team player with good communication and presentation skills</li></ul>EDUCATION:B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent.If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!Not the right fit?  Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!Not the right fit?  Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!<h4>Experience Level</h4>Senior Level

Fractal Analytics Private Limited

Senior Architect

Manager, Data ScienceThe CompanyPayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.  Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day.  We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.Job Summary:As a Decision science manager, you will have have immense opportunity to impact core PayPal’s OKRs. You and your team will analyse key performance indicators and track financial and operational metrics with the aim of adapting PayPal’s advanced proprietary fraud prevention and experience mechanisms and enabling growth.Job Description:Essential Responsibilities: <ul><li>Lead and manage data science projects, ensuring timely delivery and alignment with business goals.</li><li>Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.</li><li>Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.</li><li>Collaborate with cross-functional teams to understand data needs and provide actionable insights.</li><li>Ensure data quality and integrity through regular audits and validation processes.</li><li>Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.</li></ul>Expected Qualifications:<ul><li>5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.</li></ul>Preferred Qualification:In your role as a Decision Science manager, you will:<ul><li>Own a distinct domain and be responsible for end outcomes</li><li>Own holistic and data-driven risk strategies to support PayPal’s global financial business goals</li><li>Plan and execute long-term projects from start to finish</li><li>Drive end-to-end processes with partners across many organizations</li><li>Work with product and platform teams to develop cutting edge, scalable and safe products, to enhance the experience for our global customers</li><li>Measure performance against KPIs and goals</li><li>Maintain ongoing communication with stakeholders and peers across the company and share updates with senior leaders in a clear manner</li><li>Lead and mentor your team members</li></ul>Subsidiary:PayPalTravel Percent:0PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit <a href="https://careers.pypl.com/contact-us" rel="noopener noreferrer" target="_blank">https://careers.pypl.com/contact-us</a>.For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit <a href="https://www.paypalbenefits.com/" rel="noopener noreferrer" target="_blank">https://www.paypalbenefits.com</a>.Who We Are:<a href="https://about.pypl.com/who-we-are/default.aspx" rel="noopener noreferrer" target="_blank">Click Here</a> to learn more about our culture and community.Commitment to Diversity and Inclusion  PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law.  In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities.  If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at <a href="mailto:paypalglobaltalentacquisition@paypal.com" rel="noopener noreferrer" target="_blank">paypalglobaltalentacquisition@paypal.com</a>.  Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.Any general requests for consideration of your skills, please <a href="https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpaypal.eightfold.ai%2Fcareers%2Fjoin%3Fdomain%3Dpaypal.com&amp;data=05%7C01%7Chmouchel%40paypal.com%7C896c661e48224f2f6c0608db51a99675%7Cfb00791460204374977e21bac5f3f4c8%7C0%7C0%7C638193561037230485%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=iYNNAXZqfoYTLGNP79IEWsPoYxBR8lE1%2BqNN6c2Kmnk%3D&amp;reserved=0" rel="noopener noreferrer" target="_blank">Join our Talent Community</a>. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.<h4>Experience Level</h4>Mid Level

Paypal India Pvt Ltd

Data Scientist

Process Mining Data AnalystAt Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signaling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Could you be the full-time Process mining Data specialist in our dynamic IS&amp;T organization we’re looking for?Your future role Step into a pivotal dynamic role and apply your data engineering expertise in the data-driven field of process mining. You’ll be part of a forward-thinking, collaborative team driving digital transformation across the Alstom. As a Process Mining Data specialist, you will be instrumental in enabling data-driven insights and execution management through advanced data integration and modeling. You’ll work closely with cross-functional teams including Manufacturing, Procurement, Supply Chain, Finance, Engineering leveraging Celonis to unlock process adoption and improvement. Your responsibilities will include designing and maintaining robust data pipelines, ensuring high-quality data availability, and supporting process transparency through technical enablement. Specifically, we’ll look to you for: - Connecting and transforming data from enterprise systems into Celonis- Designing scalable ETL/ELT pipelines and data models that reflect business processes- Monitoring data load performance, completeness, and consistency- Ensuring compliance with data governance and security standards- Supporting execution applications and automation flows- Collaborating with analysts and process owners to align technical delivery with business needs- Documenting and troubleshooting data integration and quality issues All about you We value passion and attitude over experience. While we don't expect you to have every single skill, we've listed some qualifications that will help you succeed and grow in this role:<ul><li>Degree in Data Engineering, Computer Science, Information Systems, or a related field</li><li>5+ years of experience in data engineering, preferably in a CoE or enterprise context.</li><li>3+ of hands-on experience with Celonis EMS and Process Mining</li><li>Strong experience in SAP data structures and integration</li><li>Proficiency in SQL and data transformation techniques</li><li>Familiarity with Celonis or other process mining platforms</li><li>Knowledge of Python or other scripting languages is a plus</li><li>Understanding of data privacy and governance principles</li><li>Excellent analytical and problem-solving skills</li><li>Strong communication skills and ability to work with diverse stakeholders</li><li>Curiosity and a continuous learning mindset</li></ul> Things you’ll enjoy Join us on a lifelong transformative journey – the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. You'll also:<ul><li>Enjoy stability, challenges, and a long-term career free from boring daily routines</li><li>Collaborate with transverse teams and helpful colleagues</li><li>Contribute to innovative and visible projects</li><li>Utilize our flexible working environment</li><li>Steer your career in whatever direction you choose across functions and countries</li><li>Benefit from our investment in your development through award-winning learning</li><li>Progress towards leadership roles within our IS&amp;T function</li><li>Benefit from a fair and dynamic reward package that recognizes your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension)</li></ul>You don’t need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, you’ll be proud. If you’re up for the challenge, we’d love to hear from you! Important to noteAs a global business, we’re an equal-opportunity employer that celebrates diversity across the 63  countries we operate in. We’re committed to creating an inclusive workplace for everyone.<h4>Experience Level</h4>Mid Level

Alstom Transport India Ltd

Senior Processing Analyst

Analyst - Spanish Language Specialist, Supplier Data ManagementAnalyst, Supplier Data Management – Spanish Language<ol><li>Reviewing approved Supplier add request and create supplier record in accordance with Oracle's Global Purchasing/Finance policy.</li><li>Action on notifications for Supplier profile change request</li><li>Analyze and resolve invoices on bank detail invalid and Installment holds</li><li>Assist requesters in Oracle Procurement Cloud</li><li>Assist supplier on Supplier portal issues</li><li>Collaborate with the strategic team, requesters and support processes for end to end solutions</li><li>Identify, propose and initiate implementation of process efficiencies/improvements.</li><li>Provide first level functional support for system and process issues.</li><li>Assist in training of new analyst and end users</li><li>Act as a Buddy to new hires and end users</li><li>Other duties as assigned</li></ol>Additional Details - Proficiency in SPANISH language is must.<ol><li>Excellent English written and verbal communication skills.</li><li>Strong computer skills including to MS Word, Excel, Power Point Presentation, e-Mail, etc.</li><li>Detailed oriented with the ability to follow desktop procedures and work instructions closely.</li><li>A customer driven approach and good customer management skills</li><li>Ability to identify problems and apply creative solutions</li><li>Ability to multi-task, be highly organized, and work independently</li><li>Ability to work independently and under pressure.</li><li>Logical thought process with the ability to follow guidelines and documented procedures.</li><li>Good analytical skills.</li></ol>Analyst, Supplier Data Management – Spanish Language<ol><li>Reviewing approved Supplier add request and create supplier record in accordance with Oracle's Global Purchasing/Finance policy.</li><li>Action on notifications for Supplier profile change request</li><li>Analyze and resolve invoices on bank detail invalid and Installment holds</li><li>Assist requesters in Oracle Procurement Cloud</li><li>Assist supplier on Supplier portal issues</li><li>Collaborate with the strategic team, requesters and support processes for end to end solutions</li><li>Identify, propose and initiate implementation of process efficiencies/improvements.</li><li>Provide first level functional support for system and process issues.</li><li>Assist in training of new analyst and end users</li><li>Act as a Buddy to new hires and end users</li><li>Other duties as assigned</li></ol>Additional Details - Proficiency in SPANISH language is must.<ol><li>Excellent English written and verbal communication skills.</li><li>Strong computer skills including to MS Word, Excel, Power Point Presentation, e-Mail, etc.</li><li>Detailed oriented with the ability to follow desktop procedures and work instructions closely.</li><li>A customer driven approach and good customer management skills</li><li>Ability to identify problems and apply creative solutions</li><li>Ability to multi-task, be highly organized, and work independently</li><li>Ability to work independently and under pressure.</li><li>Logical thought process with the ability to follow guidelines and documented procedures.</li><li>Good analytical skills.</li></ol>Career Level - IC0As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing <a href="mailto:accommodation-request_mb@oracle.com" rel="nofollow" target="_blank">accommodation-request_mb@oracle.com</a> or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. <h4>Experience Level</h4>Mid Level

Oracle India Private Limited

Procurement Manager

Data Engineer - #7582We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us!Your opportunity Do you love the transformative impact data can have on a business? Are you motivated to push for results and overcome all obstacles? Then we have a role for you. What you'll do <ul><li>Lead the building of scalable, fault tolerant pipelines  with built in data quality checks that transform, load and curate data from various internal and external systems</li><li>Provide leadership to cross-functional initiatives and projects.</li><li>Influence architecture design and decisions. </li><li>Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.</li><li>Improve engineering processes and cross-team collaboration.</li><li>Ruthlessly prioritize work to align with company priorities. </li><li>Provide thought leadership to grow and evolve DE function and implementation of SDLC best practices in building internal-facing data products  by staying up-to-date with industry trends, emerging technologies, and best practices in data engineering </li></ul>This role requires <ul><li>Experience in BI and Data Warehousing.</li><li>Strong experience with dbt, Airflow and snowflake </li><li>Experience with Apache Iceberg tables </li><li>Experience and knowledge of building data-lakes in AWS (i.e. Spark/Glue, Athena), including data modeling, data quality best practices, and self-service tooling.</li><li>Experience mentoring data professionals from junior to senior levels</li><li>Demonstrated success leading cross functional initiatives</li><li>Passionate about data quality, code quality, SLAs and continuous improvement</li><li>Deep understanding of data system architecture</li><li>Deep understanding of ETL/ELT patterns</li><li>Development experience in at least one object-oriented language (Python,R,Scala, etc.).</li><li>Comfortable with SQL and related tooling</li></ul>Bonus points if you have Experience with ObservabilityPlease note that visa sponsorship is not available for this position. Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics’ different backgrounds and abilities, and recognize the different paths they took to reach us – including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. We’re looking for people who feel connected to our mission and values, not just candidates who check off all the boxes. If you require a reasonable accommodation to complete any part of the application or recruiting process, please reach out to <a href="mailto:resume@newrelic.com" target="_blank">resume@newrelic.com</a>.We believe in empowering all Relics to achieve professional and business success through a flexible workforce model. This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid.Our hiring process In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers means that a criminal background check is required to join New Relic. We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the <a href="https://sfgov.org/olse/sites/default/files/FCO%20poster2020.pdf" target="_blank">San Francisco Fair Chance Ordinance</a>. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic.New Relic develops and distributes encryption software and technology that complies with U.S. export controls and licensing requirements. Certain New Relic roles require candidates to pass an export compliance assessment as a condition of employment in any global location. If relevant, we will provide more information later in the application process.Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, sexual orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics. Review our Applicant Privacy Notice at <a href="https://newrelic.com/termsandconditions/applicant-privacy-policy" target="_blank">https://newrelic.com/termsandconditions/applicant-privacy-policy</a><h4>Experience Level</h4>Senior Level

New Relic One India Pvt. Ltd.

Data Engineer

Data Scientist Associate SeniorBe part of a dynamic team where your distinctive skills will contribute to a winning culture and team. As a Data Scientist Associate Senior at JPMorgan Chase within the Asset &amp; Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities <ul><li>Supports the design, deployment, and management of prompt-based models on Large Language Models (LLMs) for various NLP tasks in financial services.</li><li>Advises and assists in researching and applying prompt engineering techniques to enhance model performance, leveraging LLM orchestration and agentic AI libraries.</li><li>Collaborates with cross-functional teams to gather requirements and contribute to the development of solutions that address business needs. Communicate technical concepts and results effectively to both technical and non-technical stakeholders.</li><li>Builds and maintain data pipelines and processing workflows for prompt engineering on LLMs, utilizing cloud services for scalability and efficiency. Contribute to the development and maintenance of tools and frameworks for prompt-based model training, evaluation, and optimization. Analyze and interpret data to assess model performance and identify opportunities for improvement.</li></ul> Required qualifications, capabilities, and skills <ul><li>Formal training or certification on data science concepts and 3+ years applied experience</li><li>Experience with prompt design and implementation, or chatbot applications. Strong programming skills in Python; experience with PyTorch or TensorFlow.</li><li>Experience building data pipelines for structured and unstructured data processing. Experience developing APIs and integrating NLP or LLM models into software applications.</li><li>Familiarity with cloud platforms (AWS or Azure) for AI/ML deployment and data processing.</li><li>Solid problem-solving skills and ability to communicate ideas and results clearly to stakeholders and leadership.</li><li>Basic knowledge of deployment processes, including experience with GIT and version control systems.</li><li>Familiarity with LLM orchestration and agentic AI libraries.</li><li>Experience with MLOps tools and practices for integrating machine learning models into production environments.</li></ul>Preferred qualifications, capabilities, and skills <ul><li>Knowledge of financial products and services, including trading, investment, and risk management.</li></ul>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Mid Level

JP Morgan Services India Pvt Ltd

Data Science & AI Specialist<h4>Why this job matters</h4>As a Senior Data Scientist with ML/LLM/GenAI skills, you will play a critical role in advancing our AI capabilities and driving the development of innovative solutions that harness the power of machine learning, large language models and generative AI. You will work closely with cross-functional teams to design, implement, and optimize AI models, ensuring they deliver actionable insights and tangible business value. Your expertise will be pivotal in shaping our AI strategy and contributing to the overall success of our AI initiatives.<h4>What you’ll be doing</h4>1.Leads the extraction and analysis of big data through the application of Data Science &amp; AI techniques to generate insight from data to support decision-making across the business or to embed in new products and services. 2.Drives model development, including data exploration, training data, feature extraction, validation and scoring. 3.Drives the development of insightful visualisations to make sophisticated analyses accessible to a broad audience. 4.Drives initiatives related to fairness, ethics, interpretability, safety, robustness, and privacy in the context of artificial intelligence and machine learning. 5.Mentors other Data Science &amp; AI professionals, helping to improve the team's abilities by acting as a technical resource. 6.Champions, continuously develops and shares with team knowledge on emerging trends and changes in machine learning and artificial intelligence.<h4>The skills you’ll need to succeed</h4>• Experience with fine-tuning and optimizing AI models for specific tasks and domains. • Knowledge of ethical AI practices and the ability to implement fairness, accountability, and transparency in AI systems. • Familiarity with A/B testing, experimental design, and statistical analysis. • Publications or contributions to the AI/ML community through conferences, journals, or open-source projects.<h4>Required Qualifications</h4>• Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field. • 8+ years of experience in data science, with a focus on Machine Learning, Deep Learning, NLP, LLMs, and generative AI. • Proficiency in programming languages such as Python, R, or Java. • Strong experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers). • Nice to have: In-depth understanding of deep learning techniques and architectures (e.g., Transformers, RNNs, CNNs). • Proven track record of deploying AI models in production environments. • Excellent problem-solving skills and the ability to think creatively and strategically. • Strong communication skills and the ability to convey complex technical concepts to diverse audiences. • Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes) is a plus.<h4>Our leadership standards</h4>Looking in: Leading inclusively and Safely I inspire and build trust through self-awareness, honesty and integrity. Owning outcomes I take the right decisions that benefit the broader organisation.Looking out: Delivering for the customer I execute brilliantly on clear priorities that add value to our customers and the wider business. Commercially savvy I demonstrate strong commercial focus, bringing an external perspective to decision-making.Looking to the future: Growth mindset I experiment and identify opportunities for growth for both myself and the organisation. Building for the future I build diverse future-ready teams where all individuals can be at their best. About usBT Group was the world’s first telco and our heritage in the sector is unrivalled. As home to several of the UK’s most recognised and cherished brands – BT, EE, Openreach and Plusnet, we have always played a critical role in creating the future, and we have reached an inflection point in the transformation of our business.  Over the next two years, we will complete the UK’s largest and most successful digital infrastructure project – connecting more than 25 million premises to full fibre broadband. Together with our heavy investment in 5G, we play a central role in revolutionising how people connect with each other.  While we are through the most capital-intensive phase of our fibre investment, meaning we can reward our shareholders for their commitment and patience, we are absolutely focused on how we organise ourselves in the best way to serve our customers in the years to come. This includes radical simplification of systems, structures, and processes on a huge scale. Together with our application of AI and technology, we are on a path to creating the UK’s best telco, reimagining the customer experience and relationship with one of this country’s biggest infrastructure companies.   Change on the scale we will all experience in the coming years is unprecedented. BT Group is committed to being the driving force behind improving connectivity for millions and there has never been a more exciting time to join a company and leadership team with the skills, experience, creativity, and passion to take this company into a new era.A FEW POINTS TO NOTE:Although these roles are listed as full-time, if you’re a job share partnership, work reduced hours, or any other way of working flexibly, please still get in touch. We will also offer reasonable adjustments for the selection process if required, so please do not hesitate to inform us.DON'T MEET EVERY SINGLE REQUIREMENT?Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team.<h4>Experience Level</h4>Senior Level

BT Group

IN_Senior Associate_AI/ML_Data & Analytics_Advisory_PAN IndiaLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.*Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "Job Description &amp; Summary: A career within….Responsibilities:Main responsibilities will include: o Develop and implement conversational AI solutions that meet client needs. o Build and train natural language processing models to improve accuracy and understanding. o Design and develop conversational interfaces that are intuitive and easy for users to navigate. o Work with cross-functional teams to integrate conversational AI solutions into existing systems. o Troubleshoot and resolve technical issues related to conversational AI solutions. o Stay up to date with the latest developments in conversational AI and identify new opportunities for growth and innovation.Mandatory skill sets:AI Engineer, NLPPreferred skill sets:AI Engineer, NLPYears of experience required:4-8 YearsEducation Qualification : BE, B.Tech, MCA, M.TechEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor of Engineering, Master of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsArtificial Intelligence SoftwareOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date<h4>Experience Level</h4>Senior Level

PriceWaterhouseCoopers Pvt Ltd ( PWC )

Senior Associate

Senior Analyst - Mandarin Language Specialist, Supplier Data ManagementSenior Analyst, Supplier Data Management – Mandarin Language<ol><li>Reviewing approved Supplier add request and create supplier record in accordance with Oracle's Global Purchasing/Finance policy.</li><li>Action on notifications for Supplier profile change request</li><li>Analyze and resolve invoices on bank detail invalid and Installment holds</li><li>Assist requesters in Oracle Procurement Cloud</li><li>Assist supplier on Supplier portal issues</li><li>Collaborate with the strategic team, requesters and support processes for end to end solutions</li><li>Identify, propose and initiate implementation of process efficiencies/improvements.</li><li>Provide first level functional support for system and process issues.</li><li>Assist in training of new analyst and end users</li><li>Act as a Buddy to new hires and end users</li><li>Other duties as assigned</li></ol> Additional Details - Proficiency in MANDRIN language is must.<ol><li>Excellent English written and verbal communication skills.</li><li>Strong computer skills including to MS Word, Excel, Power Point Presentation, e-Mail, etc.</li><li>Detailed oriented with the ability to follow desktop procedures and work instructions closely.</li><li>A customer driven approach and good customer management skills</li><li>Ability to identify problems and apply creative solutions</li><li>Ability to multi-task, be highly organized, and work independently</li><li>Ability to work independently and under pressure.</li><li>Logical thought process with the ability to follow guidelines and documented procedures.</li><li>Good analytical skills.</li></ol>Senior Analyst, Supplier Data Management – Mandarin Language<ol><li>Reviewing approved Supplier add request and create supplier record in accordance with Oracle's Global Purchasing/Finance policy.</li><li>Action on notifications for Supplier profile change request</li><li>Analyze and resolve invoices on bank detail invalid and Installment holds</li><li>Assist requesters in Oracle Procurement Cloud</li><li>Assist supplier on Supplier portal issues</li><li>Collaborate with the strategic team, requesters and support processes for end to end solutions</li><li>Identify, propose and initiate implementation of process efficiencies/improvements.</li><li>Provide first level functional support for system and process issues.</li><li>Assist in training of new analyst and end users</li><li>Act as a Buddy to new hires and end users</li><li>Other duties as assigned</li></ol> Additional Details - Proficiency in MANDRIN language is must.<ol><li>Excellent English written and verbal communication skills.</li><li>Strong computer skills including to MS Word, Excel, Power Point Presentation, e-Mail, etc.</li><li>Detailed oriented with the ability to follow desktop procedures and work instructions closely.</li><li>A customer driven approach and good customer management skills</li><li>Ability to identify problems and apply creative solutions</li><li>Ability to multi-task, be highly organized, and work independently</li><li>Ability to work independently and under pressure.</li><li>Logical thought process with the ability to follow guidelines and documented procedures.</li><li>Good analytical skills.</li></ol>Career Level - IC1As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing <a href="mailto:accommodation-request_mb@oracle.com" rel="nofollow" target="_blank">accommodation-request_mb@oracle.com</a> or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. <h4>Experience Level</h4>Senior Level

Senior Analyst

Quant Analytics AssociateJoin us to drive innovation and business impact through data excellence and collaboration.As a Quant Analytics Analyst in the Chase Data team, you play a key role in enabling business innovation by ensuring data is clearly documented, of high quality, and well-protected. You collaborate with technology and business partners to deliver data that supports business objectives, analytics, and reporting, while maintaining compliance with firmwide policies.Job responsibilities<ul><li>Define metadata and classifiers for data critical to the business area</li><li>Execute processes to identify, monitor, and mitigate data risks across the data lifecycle</li><li>Develop operational procedures for delivering data to support business operations and analytics</li><li>Document data requirements to ensure understanding across teams and functions</li><li>Partner with technology and business resources to investigate and remediate data issues</li><li>Lead development and reporting of operational performance metrics and KPIs</li><li>Create self-serve tools to provide real-time information to decision-makers</li></ul>Required qualifications, capabilities and skills<ul><li>Bachelor’s degree</li><li>Four years industry experience in a data-related field</li><li>Subject matter expertise in business or product data or processes</li><li>Hands-on experience with at least four of SQL, Python, SAS, Tableau, Alteryx</li><li>Proven ability to execute via internal partnerships</li><li>Strong interpersonal and communication skills</li><li>Analytical thinking and problem-solving skills</li></ul>Preferred qualifications, capabilities and skills<ul><li>Technical knowledge of data management and governance, big data platforms, or data architecture</li><li>Experience writing code and automating data sourcing, transformation, and analysis</li></ul>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Senior Level

Aptitude Specialist

Associate - Data and AnalyticsIf you are a strategic thinker with a passion for driving solutions in quantitative analytics, you have found the right team. As a Quantitative Analytics Professional within our Consumer &amp; Community Banking Finance team, you will be instrumental in defining, refining, and achieving the firm’s strategic goals. Your role will involve leading the analytical initiatives during the Finance Decision Optimization product development for consumer lending products within the Product and Transformation team. The Finance Decision Optimization team provides support to various lines of business, including home lending, retail banking, auto finance, wealth management, and business banking. This position requires a visionary approach, the ability to present to executive stakeholders, and the responsibility to ensure engineering teams meet overarching delivery objectives. While this is not a model development role, it involves close collaboration with modeling, data, business, and technology teams to deliver analytical solutions, conduct deep dives, assess whether models under development meet business requirements, and perform back-testing.Job Responsibilities<ul><li>Define modeling requirements for optimizing financial decisions across lending and deposit products, including mortgage, auto, card, business banking, and wealth management.</li><li>Collaborate closely with the business modeling team to develop robust financial decision-making models.</li><li>Analyze model inputs and outputs to support model development and deployment (User Acceptance Testing, tie-outs etc.).</li><li>Partner with business teams to integrate model outputs into business strategies.</li><li>Conduct comprehensive analyses to assist management in understanding the business impact of financial strategies before and after the incorporation of these models.</li><li>Develop and maintain dashboards and relevant reporting to monitor model performance.</li><li>Collaborate effectively with finance, modeling, data, technology, and business teams.</li><li>Present results and recommendations clearly and concisely.</li></ul> Required Qualifications, Capabilities, and Skills<ul><li>A postgraduate degree in a quantitative discipline such as Mathematics, Finance, Statistics, Economics, or equivalent work/training is required.</li><li>Over 6 years of technical delivery experience with a proven track record of increasing responsibility.</li><li>Banking experience in one or more U.S. consumer credit portfolios (e.g., U.S. Mortgage, Home Equity, Credit Card, Automotive, Lease, Business Banking).</li><li>Knowledge of finance processes, particularly pricing and macroeconomics.</li><li>Strong technical and statistical skills, with experience in the development or use of ML models.</li><li>Ability to synthesize data and communicate effectively to leadership both verbally and in writing.</li><li>Meticulous attention to detail, analytical and inquisitive, with high standards for quality and accuracy.</li><li>Proficiency in Microsoft Office, especially Excel and PowerPoint.</li><li>Experience with data extraction and analysis tools such as Python/Structured Query Language.</li></ul> Preferred Qualifications, Capabilities, and Skills<ul><li>Preference for advances degrees like Masters.</li><li>Familiarity with public cloud platforms, particularly AWS, is an added advantage.</li><li>Proven ability to multitask effectively, set expectations, and escalate issues when necessary.</li><li>Project management skills, including a well-organized and structured approach, with the ability to meet tight timelines on complex deliverables and manage projects across cross-functional groups.</li><li>Strong communication and interpersonal skills, with the ability to interact with individuals across departments and functions, including senior-level personnel.</li><li>Ability to work effectively under pressure and in a rapidly changing environment to meet deadlines.</li><li>Demonstrated leadership and a desire to mentor and develop credit analysts within the team.</li></ul>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Mid Level

Data Analyst

Lead Data ScientistJPMC is hiring the best talents to join the growing Asset and Wealth Management AI team. We are executing like a startup and building next-generation technology that combines JPMC unique data and full-service advantage to develop high impact AI applications and platforms in the financial services industry. We are looking for hands-on ML Engineering leader and expert who is excited about the opportunity.  As a senior ML and GenAI engineer (VP), you will play a lead role as a senior member of our global team. Your responsibilities will entail hands on development of high-impact business solutions through data analysis, developing cutting edge ML and LLM models, and deploying these models to production environments on AWS or Azure.  You'll combine your years of proven development expertise with a never-ending quest to create innovative technology through solid engineering practices. Your passion and experience in one or more technology domains will help solve complex business problems to serve our Private Bank clients. As a constant learner and early adopter, you’re already embracing leading-edge technologies and methodologies; your example encourages others to follow suit.  Job Responsibilities  Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions Close partnership with peers in a geographically dispersed team and colleagues across organizational lines Collaborate across JPMorgan AWM’s lines of business and functions to accelerate adoption of common AI capabilities Design and implement highly scalable and reliable data processing pipelines and deploy model inference services. Deploy solutions into public cloud infrastructure Experiment, develop and productionize high quality machine learning models, services, and platforms to make a huge technology and business impact  Required qualifications, capabilities, and skills  <ul><li>MS in Computer Science, Statistics, Mathematics or Machine Learning. </li></ul><ul><li>Minimum 5 years development experience, preferably with 3+ years hands-on Machine Learning Engineering </li></ul><ul><li>Proven leadership capacity, including new AI/ML idea generation and GenAI-based solutions </li></ul><ul><li>Solid Python programming skills required; with other high-performance language such as Go a big plus </li></ul><ul><li>Expert knowledge of one of the cloud computing platforms preferred: Amazon Web Services (AWS), Azure, Kubernetes. </li></ul><ul><li>Experience in using LLMs (OpenAI, Claude or other models ) to solve business problems, including full workflow toolset, such as tracing, evaluations and guardrails. Understanding of LLM fine-tuning and inference a plus </li></ul><ul><li>Knowledge of data pipelines, both batch and real-time data processing on both SQL (such as Postgres) and NoSQL stores (such as OpenSearch and Redis) </li></ul><ul><li>Expertise in application, data, and infrastructure architecture disciplines </li></ul><ul><li>Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. </li></ul><ul><li>Excellent communication skills and ability to communicate with senior technical and business partners </li></ul>  Preferred qualifications, capabilities, and skills  <ul><li>Expert in at least one of the following areas: Natural Language Processing, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. </li></ul><ul><li>Knowledge of machine learning frameworks: Pytorch, Keras, MXNet, Scikit-Learn </li></ul><ul><li>Understanding of finance or wealth management businesses is an added advantage </li></ul>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Senior Level

Data Analyst Intern

AI EngineerWho We AreAt Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The RoleAs a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer. You will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. You’ll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses. In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally. Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle. Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation. If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You AreWho You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Skills and Experience •Knowledge of modeling tools and programming languages, e.g., Azure ML, Vortex AI AutoML, SageMaker, or Python •Excellent problem-solving, analytical, and critical thinking skills •Communication and presentation skills, with the ability to convey complex data insights to both technical and non-technical audiences •Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail Preferred Skills and Experience •Degree in a quantitative discipline, such as mathematics, statistics, computer science, or mechanical engineering •Professional certification, e.g., Open Certified Data Scientist •Cloud platform certification, e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, or Microsoft Certified: Azure Data Scientist Associate •Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio •Experience in at least one domain, e.g., cybersecurity, IT service management, financial services, or health care Being YouDiversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can ExpectWith state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations.  At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.<h4>Experience Level</h4>Senior Level

Kyndryl Solutions Private Limited

Data Consultant-Data ScientistWho We AreAt Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The RoleAs a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer. You will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. You’ll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses. Responsibilities:<ul><li>Lead the development and implementation of AI/ML, Generative AI and LLM projects, ensuring alignment with business objectives.</li><li>Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of Generative AI applications.</li><li>Engage effectively with customers, showcasing and demonstrating the relevance and impact of Generative AI applications in their businesses.</li><li>Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS, etc.).</li></ul>In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modelling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally. Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle. Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation. If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.Your Future at KyndrylEvery position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You AreYou’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.Required Technical and Professional Experience:<ul><li>Minimum of 5 years of experience in Data Science and Machine Learning, with expertise in NLP, Generative AI, LLMs, MLOps, optimization techniques, and AI solution architecture.</li><li>Familiarity with business processes in 1-2 domains (e.g., Financial, Telecom, Retail, Manufacturing) to quickly understand requirements and develop solutions.</li><li>Graduate/Postgraduate in computer science, computer engineering, or equivalent with minimum of 10 years of experience in the IT industry.</li><li>Past experience in responding to or solutioning for RFPs, customer proposals, and customer presentations/orals. Strong understanding of Transformers, LLMs, Fine Tuning, Agents, and RAG techniques.</li><li>Experience using LLM models on cloud platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI).</li><li>Experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS).</li><li>Understanding of how to deploy LLMs on cloud/on-premise and use APIs to build industry solutions.</li><li>Strong knowledge in programming, specifically in Python / R.</li><li>Be well equipped to understand machine learning algorithms and be versatile enough to implement them in pure NumPy, TensorFlow or PyTorch as required</li><li>Good understand of Mathematics Fundamentals like Statistics, Probability, Linear Algebra, and Calculus</li><li>Experience in Data mining and providing data insights using visualization</li><li>Knowledge in MySQL or NoSQL Databases will be added advantage</li></ul>Preferred Technical And Professional Experience<ul><li>Certification in one or more of the hyperscale's (Azure, AWS, Google Cloud Platform)</li><li>Open Certified Data Scientist (Open CDS) – L2/L3</li><li>Familiarity with Agentic AI frameworks</li></ul> Being YouDiversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can ExpectWith state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations.  At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.<h4>Experience Level</h4>Senior Level

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