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Lead - AIML Engineer <ul><li>Experience - 8-12 Yrs</li><li>Positions - 2</li><li>Primary Skills - Python, Data Structures, Machine Learning, Deep Learning, Model Deployment and Gen Al</li></ul> Please share your Updated CV now.

Quadrant Technologies

Systems Server Engineer

Data Science Manager Work on transformative projects in:<ul><li>Generative AI</li><li>MLOps</li><li>Predictive Analytics</li><li>Machine Learning</li><li>Collaborate with brilliant minds in an innovation-driven, inclusive culture</li><li>Unmatched growth opportunities + access to cutting-edge tools</li></ul> What We’re Looking For:<ul><li>Proven expertise in Generative AI &amp; MLOps</li><li>Strong problem-solving &amp; analytical thinking</li><li>Hands-on experience with top AI/ML frameworks</li><li>Experience - 9–14 years</li></ul> What’s in It for You?<ul><li>Solve high-impact challenges in healthcare, finance, retail, and more</li><li>Be part of a global leader in digital transformation</li><li>Thrive in a culture of creativity, learning, and growth</li></ul> Share your updated resume now.

Publicis Sapient Consulting Pvt Ltd

Data Scientist

Data Platform EngineerProject Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Alation Data Catalog Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary: 
As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in shaping the data platform components.
 
Roles &amp; Responsibilities: 
- Expected to be a SME with deep knowledge and experience.
- Should have Influencing and Advisory skills.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the implementation of data platform solutions.
- Provide technical guidance and expertise to the team.
- Collaborate with cross-functional teams to drive data platform initiatives.
 
Professional &amp; Technical Skills: 
- Must To Have Skills: Proficiency in Alation Data Catalog.
- Strong understanding of data governance principles.
- Experience in data modeling and database design.
- Hands-on experience with data integration tools.
- Knowledge of cloud platforms and data storage solutions.
 
Additional Information: 
- The candidate should have a minimum of 15 years of experience in Alation Data Catalog.
- This position is based at our Bengaluru office.
- A 15 years full-time education is required.

Accenture India Private Limited

BI Developer

Lead Data ScientistRazorpay was founded by<a href="https://www.linkedin.com/in/kumarshashank/" target="_blank"> Shashank Kumar</a> and<a href="https://www.linkedin.com/in/harshilmathur/" target="_blank"> Harshil Mathur</a> in 2014. Razorpay is building a new-age digital banking hub (Neobank) for businesses in India with the mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes. What started as a B2B payments company is processing billions of dollars of payments for lakhs of businesses across India. We are a full-stack financial services organisation, committed to helping Indian businesses with comprehensive and innovative payment and business banking solutions built over robust technology to address the entire length and breadth of the payment and banking journey for any business. Over the past year, we've disbursed loans worth millions of dollars in loans to thousands of businesses. In parallel, Razorpay is reimagining how businesses manage money by simplifying business banking (via<a href="https://razorpay.com/x/" target="_blank"> Razorpay X</a>) and enabling capital availability for businesses (via<a href="https://razorpay.com/capital/" target="_blank"> Razorpay Capital</a>). The Role:We are looking for an enthusiastic Lead Data Scientist to join our growing team. The hire will be responsible for working in collaboration with other data scientists and engineers across the organization to develop production-quality models for a variety of problems across Razorpay. Some possible problems include : making recommendations to merchants from Razorpay’s suite of products, cost optimization of transactions for merchants, automatic address disambiguation / correction to enable tracking customer purchases using advanced natural language processing techniques.As part of the DS team @ Razorpay, you’ll work with some of the smartest engineers/architects/data scientists in the industry and have the opportunity to solve complex and critical problems for Razorpay.Responsibilities:● Lead the data science team, providing guidance, mentorship, and technical expertise to drive impactful outcomes.● Apply advanced data science methodologies, mathematics, and machine learning techniques to solve intricate and strategic business problems.● Collaborate closely with cross-functional teams, including engineers, product managers, and business stakeholders, to develop and deploy robust data science solutions.● Conduct in-depth analysis of large and complex datasets to extract valuable insights and drive actionable recommendations.● Present findings, insights, and strategic recommendations to senior stakeholders in a clear and concise manner.● Identify key metrics and develop executive-level dashboards to monitor performance and support data-driven decision-making.● Oversee multiple projects concurrently, ensuring high-quality deliverables within defined timelines.● Train and mentor junior data scientists, fostering their professional growth and fostering a collaborative and innovative team environment.● Continuously improve and optimize data science solutions, evaluating their effectiveness and exploring new methodologies and technologies.● Drive the deployment of data-driven solutions into production, ensuring seamless integration and effective communication of results. Mandatory Qualifications:● 7-9 years experience in a data science role, with a track record of delivering impactful solutions in a production environment.● Advanced degree (Master's or Ph.D.) in a quantitative field, such as Computer Science, Statistics, Mathematics, or related disciplines.● Deep knowledge and expertise in advanced machine learning techniques, statistical analysis, and mathematical modeling.● Proficiency in programming languages such as Python, R, or Scala, with experience in building scalable and efficient data science workflows.● Deep experience with big data processing frameworks (e.g., Hadoop, Spark) and deep learning frameworks (e.g., TensorFlow, PyTorch).● Strong leadership skills, with the ability to guide and inspire a team, prioritize tasks, and meet project goals.● Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical stakeholders.● Proven experience in driving data-driven decision-making processes and influencing strategic initiatives.● Deep experience with cloud platforms (e.g., AWS, Azure, GCP) and their data science tools and services.● A passion for staying up-to-date with the latest advancements in data science and actively exploring new techniques and technologies. Location: BangaloreRazorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe.  Follow us on <a href="https://www.linkedin.com/company/razorpay/mycompany/" target="_blank">LinkedIn</a> &amp; <a href="https://twitter.com/Razorpay" target="_blank">Twitter</a><h4>Experience Level</h4>Senior Level

Razorpay Software Pvt Ltd

Data Analyst Intern

Sales Ex - COE - Client Success Data Science Associate ManagerAbout Accenture:        At Accenture, we believe your career is about what you want to be and who you want to be. It’s about bringing your skills, your curiosity, and your best true self to your work. Here, you’ll match your ingenuity with the latest technology to do incredible things. Together, we can create positive, long-lasting change.We are:Sales Excellence. Sales Excellence at Accenture empowers our people to compete, win and grow. We provide everything they need to grow their client portfolios, optimize their deals and enable their sales talent, all driven by sales intelligence.The team will be aligned to the Client Success, which is a new function to support Accenture’s approach to putting client value and client experience at the heart of everything we do to foster client love. Our ambition is that every client loves working with Accenture and believes we’re the ideal partner to help them create and realize their vision for the future – beyond their expectations.You are:An experienced data scientist with a flair for turning data into business insights. You enjoy searching for patterns and connections in data to discover trends, root causes and solutions. While logical and objective in your approach, your true superpower is helping others to see how things can be done differently. You use AI modeling to test theories and identify ways to improve processes.The work:The Center of Excellence (COE) enables Sales Excellence to deliver best-in-class service offerings to Accenture leaders, practitioners, and sales teams.As a member of the COE Analytics Modeling Analysis team, you will generate business insights to help Accenture to improve its processes, boost sales and maximize profitability.You will build models and scorecards that help business leaders to understand trends and market drivers. You will work closely with operations teams to turn these insights into user-friendly solutions. Managing access to tools and monitoring their usageYou will:<ul><li>ETL raw data from the source systems across business areas and transform it into structured and usable formats for analysis and modeling purposes.</li><li>Apply statistical, machine learning, and NLP techniques to analyze data, identify patterns, and extract meaningful insights.</li><li>Develop machine learning or deep learning models to solve complex business problems or operations and implement and manage the models in the cloud platform.</li><li>Interpret and present findings to technical as well as non-technical audiences in a clear and actionable manner.</li><li>Identify Gen AI use cases leveraging various LLMs and design and conduct pilot projects to explore their feasibility and value.</li><li>Develop Gen AI-based solutions or capabilities collaborating with cross-functional teams including data engineers and business stakeholders.</li><li>Ensure data compliance with privacy regulations and implement data security measures.</li><li>Stay updated with latest developments in data science and Gen AI.</li></ul>

Senior Data Scientist Work on transformative projects in:<ul><li>Generative AI</li><li>MLOps</li><li>Predictive Analytics</li><li>Machine Learning</li><li>Collaborate with brilliant minds in an innovation-driven, inclusive culture</li><li>Unmatched growth opportunities + access to cutting-edge tools</li></ul> What We’re Looking For:<ul><li>Proven expertise in Generative AI &amp; MLOps</li><li>Strong problem-solving &amp; analytical thinking</li><li>Hands-on experience with top AI/ML frameworks</li><li>Experience - 5–9 years</li></ul> What’s in It for You?<ul><li>Solve high-impact challenges in healthcare, finance, retail, and more</li><li>Be part of a global leader in digital transformation</li><li>Thrive in a culture of creativity, learning, and growth</li></ul> Share your updated resume now.

Quant Analytics ManagerJoin us to lead innovative AI solutions and elevate your career in data analytics.As a Quant Manager within the Data Analytics team, you will spearhead the design, development, and deployment of AI solutions for Chase Travel. You will lead a team to deliver high-quality data engineering and analytics solutions, focusing on natural language processes and AI impact evaluation.Job Responsibilities<ul><li>Lead and mentor a team of data engineers and analysts, fostering continuous learning.</li><li>Design, develop, and maintain large-scale data processing pipelines for optimal performance.</li><li>Collaborate with cross-functional teams to translate business objectives into AI solutions.</li><li>Serve as a data expert, providing guidance to account teams and stakeholders.</li><li>Develop advanced dashboards and reports using SAS Visual Analytics, QlikSense, and Tableau.</li><li>Partner with AI Product teams to drive the AI roadmap and strategic decisions.</li><li>Identify and collect critical data points for post-release analysis of AI initiatives.</li></ul>Required Qualifications, Capabilities, and Skills<ul><li>Bachelor’s degree in Business Analytics, Data Science, Computer Science, or related field.</li><li>Strong analytical skills with the ability to uncover insights from business and data contexts.</li><li>8+ years of experience in data models and analytic solutions, focusing on leadership roles.</li><li>Extensive experience with ETL/ELT processes in cloud-based data lake platforms.</li><li>Proficiency in SQL, Python, and Alteryx for data analysis and transformation.</li><li>Expertise in SAS Visual Analytics, QlikSense, and Tableau.</li><li>Exceptional communication skills for effective stakeholder collaboration.</li><li>Proven ability to manage multiple large-scale projects simultaneously.</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

JP Morgan Services India Pvt Ltd

Analyst

Quant Analytics Associate SeniorWe have an exciting opportunity for you to advance your career in AI and data analytics.As a Quant Analytics Senior Associate within the Data Analytics team, you will design, develop, and deploy AI solutions for Chase Travel. You will collaborate with various teams to create AI applications, focusing on natural language processes and information extraction, to drive analytics insights and support the AI roadmap.Job Responsibilities<ul><li>Organize, update, and maintain data to support engineering and analytics functions.</li><li>Develop enterprise data models and large-scale data processing pipelines.</li><li>Collaborate with cross-functional teams to translate business objectives into AI solutions.</li><li>Act as a data expert, providing insights and recommendations to account teams.</li><li>Develop dashboards and reports using SAS Visual Analytics, QlikSense, and Tableau.</li><li>Assist AI Product teams by providing analytics and guidance for the AI roadmap.</li><li>Identify and track data points for post-release analysis of AI initiatives.</li></ul>Required Qualifications, Capabilities, and Skills<ul><li>Bachelor’s degree in Business Analytics, Data Science, Computer Science, Information Systems, or related field.</li><li>Strong analytical and problem-solving skills with attention to detail.</li><li>6+ years of experience in designing and implementing data models and analytic solutions.</li><li>Experience with ETL/ELT processes in cloud-based data lake platforms like AWS, Azure, or Snowflake.</li><li>Proficient in SQL, Python, and Alteryx for data analysis and engineering.</li><li>Experience with data models and reporting packages like SAS Visual Analytics, QlikSense, or Tableau.</li><li>Effective verbal and written communication skills.</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

Senior Analyst

Scale Solutions EngineerCSQ326R201Mission:At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilising the Data Intelligence platform. As a Scale Solution Engineer, you will play a critical role in advising Customers in their onboarding journey. You will directly work with customers to help them onboard and deploy Databricks in their Production environment.The impact you will have:<ul><li>You will ensure new customers have an excellent experience by providing them with technical assistance early in their journey.</li><li>You will become an expert on the Databricks Platform and guide customers in making the best technical decisions to achieve their goals.</li><li>You will work on multiple tactical customers to track and report their progress.</li></ul>What we look for:<ul><li>2+ years of industry experience</li><li>Early-career technical professional ideally in data-driven or cloud-based roles.</li><li>Knowledge of at least one of the public cloud platforms AWS, Azure, or GCP is required.</li><li>Knowledge of a programming language - Python, Scala, or SQL</li><li>Knowledge of end-to-end data analytics workflow</li><li>Hands-on professional or academic experience in one or more of the following:
<ul><li>Data Engineering technologies (e.g., ETL, DBT, Spark, Airflow)</li><li>Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake)</li></ul></li><li>Excellent time management &amp; presentation skills</li><li>Bonus - Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models)</li></ul>About DatabricksDatabricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on <a href="https://twitter.com/databricks" target="_blank">Twitter</a>, <a href="https://www.linkedin.com/company/databricks" target="_blank">LinkedIn</a> and <a href="https://www.facebook.com/databricksinc" target="_blank">Facebook</a>. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit <a href="https://www.mybenefitsnow.com/databricks">https://www.mybenefitsnow.com/databricks</a>.  Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.ComplianceIf access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.<h4>Experience Level</h4>Mid Level

Databricks

Senior Application Engineer

Big Data Developer Experience: 5-8 Years We are looking for a talented Big Data Developer to join our team. The ideal candidate will be responsible for hands-on development and technical delivery of innovative components used in data driven solutions within a cross-functional, agile development team. The candidate should have a sound working knowledge of Spark, Scala, NoSQL, Big Data SQL, Hadoop, SQL, and be self-motivated to drive through rapidly changing requirements typically found in innovative business units.Key Responsibilities• Work within a cross-functional, agile development team to deliver innovative data driven solutions.• Develop and implement Big Data components and solutions using Spark, Scala, and other Big Data technologies.• Ensure technical delivery of high-quality, efficient, and scalable solutions.• Adapt to rapidly changing requirements and drive through solutions independently. Requirements• 4+ Years of experience with BigQuery SQL.• Very strong in SQL.• Experience with GCP Cloud.• Experience with Scala and SPARK.• Candidates should be able to work independently.

Eximietas Design

Data & Analytics AVP We are seeking individuals proficient in SQL, SAP HANA Cloud, and API integration, with a strong foundation in data engineering and the development of scalable AI-driven applications.An added advantage would be familiarity with Agile methodologies.Experience: 7–15 years Share your resume now.

Live Connections

System Analyst

GCP Data Engineer Skills Required:<ul><li>Expertise in GCP ecosystem – BigQuery, Dataflow, Composer, Pub/Sub, DataProc</li><li>Strong proficiency in Python, PySpark, SQL</li><li>Knowledge of HDFS, Hadoop and large-scale data migration/engineering</li></ul> Responsibilities:<ul><li>Design, build, and optimize data pipelines on GCP</li><li>Lead and deliver end-to-end data engineering &amp; migration projects independently</li><li>Collaborate with stakeholders to build scalable and reliable cloud data solutions</li></ul> Experience: 5+ years Share your updated resume now.

Natobotics

Data Engineer

Senior Data Engineer Cito Techno is looking for passionate Senior Data Engineer to join our growing team. Experience: 5+ Years Notice Period: Immediate Joiner Skills: AWS/Azure, Python, PySpark, Databricks, SQL, Airflow Location: Bangalore, Domlur (4 days working from office) Shift: Normal Shift If you have a strong background in data engineering and are eager to make an impact, send your resume.

Cito Techno

Data Engineer We are seeking a highly skilled Data Engineer with strong expertise in PySpark, SQL, and Big Data platforms. The ideal candidate will bring hands-on experience in data migration projects and the ability to design, build, and optimize data pipelines on cloud platforms (AWS). What You’ll Do<ul><li>Design &amp; develop ETL pipelines using PySpark, Spark, and Scala.</li><li>Lead data migration projects; resolve migration challenges.</li><li>Build scalable solutions on AWS cloud services (S3, Lambda, Glue, EMR, Redshift, Athena, Kinesis, etc.).</li><li>Optimize SQL queries, perform performance tuning, and manage relational data models.</li><li>Work with Teradata, Oracle SQL/PL-SQL, Hadoop in enterprise-scale environments.</li><li>Collaborate with cross-functional teams on Analytics, BI, and Data Warehousing initiatives.</li></ul> What We’re Looking For<ul><li>7+ years in Data Engineering &amp; Analytics</li><li>Strong in PySpark &amp; SQL</li><li>Proven Migration Experience (mandatory)</li><li>Hands-on with ETL, AWS, Teradata, Hadoop</li><li>Proficient in Unix scripting, Autosys JIL, PL/SQL</li><li>Experience with Agile / Data Delivery Life Cycle frameworks</li></ul> Why Join Us?<ul><li>Hybrid work model (3 days onsite at Manyata Tech Park)</li><li>Opportunity to work with cutting-edge Big Data &amp; Cloud solutions</li><li>Collaborative, innovative environment with growth opportunities</li></ul> Share your updated resume now.

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