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Big Data Developer Job specification:&nbsp;We are looking for a Big Data Developer to join our team in Bangalore and Chennai<h5> </h5>Job DescriptionAbout Neostats Analytics: NeoStats is a new-age, Data &amp; Analytics firm offering contemporary solutions and infinite possibilities. Our mission is to create lasting competitive advantage for our clients by transforming them into world-class, data-driven organizations. Established in 2022 to provide End to End Data &amp; Analytics Services, we are headquartered out of UAE, with bases in India &amp; UK. Comprising of industry veterans, we enable structural transformations in Analytics powered by our expertise, true partnership, and e2e implementation approach About the JobWe are looking for a Big Data Developer to join our team in Bangalore and Chennai. The ideal candidate should have a 5+ years of experience in the industry with experience in SQL, basic Unix command, Hive, and Hadoop environment. You will be responsible for developing and maintaining data pipelines using ETL processes, working closely with the data science team to implement data analytics pipelines, and analyzing vast amounts of data stores to uncover insights. You will also be responsible for defining data governance policies and supporting data-versioning process&nbsp;Responsibilities<ul><li>Develop and maintain data pipelines using ETL processes</li><li>Take responsibility for Apache Hadoop development and implementation</li><li>Work closely with data science team to implement data analytics pipelines</li><li>Help define data governance policies and support data-versioning processes</li><li>Maintain security and data privacy, working closely with data protection officer</li><li>Analyze vast number of data stores to uncover insights</li><li>Collaborate with cross-functional teams to analyze and visualize data</li><li>Develop and maintain data modeling techniques</li><li>Design, implement, and maintain scalable data infrastructure</li><li>Build and maintain data quality dashboards and reports</li><li>Optimize and tune Hadoop environments</li></ul> Requirements:<ul><li>5+ years of experience in the industry.</li><li>Banking Experience is mandatory.</li><li>Experience with SQL, basic Unix command, Hive, and Hadoop environment.</li><li>Experience with Python, Spark, and Hive.</li><li>Understanding of Data Warehousing and Data-Modeling techniques.</li><li>Knowledge of industry-wide visualization and analytics tools (ex: Tableau, R).</li><li>Strong data engineering skills with Azure/AWS cloud platform.</li><li>Experience with streaming frameworks such as Kafka.</li><li>Knowledge of Linux, SQL, and any scripting language</li></ul>

Neostats Analytics Solutions Private Limited

Data Scientist

Data Scientist 3At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world.In the OCI AI Science org, we are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. As a Data Scientist III, you will play a key role in developing large-scale datasets leveraging Machine learning and Generative AI to train Generative AI models. You will work closely with scientists, engineers, and product teams to design benchmarking frameworks, ensure the highest standards of model and data quality.  Key Responsibilities:<ul><li>Design and develop large-scale datasets to power generative AI models in multimodal domains (e.g., text, vision, speech), with a focus on synthetic data creation.</li><li>Build robust pipelines and tooling for data acquisition, cleaning, transformation, and quality assurance to support model training and evaluation.</li><li>Research, implement, and adapt cutting-edge techniques (e.g., fine-tuning, RLHF, data augmentation) to align generative models with domain-specific needs.</li><li>Curate and annotate datasets, ensuring diversity, representativeness, and compliance with responsible AI practices. </li><li>Evaluate open-source and research models, integrating best practices into data generation workflows. </li><li>Collaborate with engineering teams to ensure datasets and synthetic data pipelines are scalable, reliable, and production ready.</li><li>Develop metrics and benchmarking frameworks to assess data quality, model alignment, and downstream impact across modalities.</li><li>Partner cross-functionally with product, research, and infrastructure teams to drive innovation in data preparation and generative AI applications.</li></ul>Qualification and Skills:<ul><li>Bachelors or Master’s in Computer Science, Data Science, AI/ML, or related field with 3+ years of industry experience.</li><li>Proficiency in Python and solid foundation in applied ML methods.</li><li>Proficiency with Pytorch, Torchvision, OpenCV, and similar, as well as building and deploying DNN models in production. </li><li>Experience building large-scale data pipelines for acquisition, cleaning, augmentation, and validation.</li><li>Ability to evaluate datasets for distribution, diversity, anomalies and fairness to assess overall quality and suitability for generative AI.</li><li>Experience with Computer Vision, NLP, Transformers, Large Language Models, Generative AI, optimizations around LLM training and serving. Experience with multimodal models a bonus.</li><li>Proven track record of delivering scalable, data-centric ML solutions. </li></ul>Career Level - IC3As 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

ML Tech Lead, Sensor Intelligence<h4>Minimum qualifications:</h4><ul><li>Bachelor's degree or equivalent practical experience.</li><li>8 years of experience in Software Development.</li><li>5 years of experience testing, and launching software products.</li><li>5 years of experience in leading technical project strategy, Machine Learning (ML) design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).</li><li>5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.</li></ul> <h4>Preferred qualifications:</h4><ul><li>Experience in machine learning, deep learning, and AI development, with a proven track record of building and deploying production-level models and ML-Infra.</li><li>Ability to work effectively with teams, including Product Managers, ML Software Engineers, and other stakeholders, to drive AI adoption and integration.</li><li>Ability to build relationships globally, ensuring effective collaboration between local and US-based teams to deliver AI-driven solutions.</li><li>Ability to work with distributed teams across multiple time zones, fostering excellent communication, collaboration, and a sense of shared purpose even in a remote work environment.</li></ul><h4>About the job</h4>Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. <h4>Responsibilities</h4><ul><li>Do research on sensor technologies and evaluate large-scale sensor data for training sensor foundation models.</li><li>Build new sensor foundation models and write and test product or system development code.</li><li>Collaborate with researchers and translate research findings from sensor data into practical applications for Fitness and health.</li><li>Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.</li><li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.</li></ul><h4>Experience Level</h4>Senior Level

Google India Pvt Ltd

Senior Tableau Developer DXC Technology hiring candidates for below position.&nbsp;Job Role: Senior Tableau DeveloperYears of experience:&nbsp;6+ Interested candidates can share their resume with below detailsCurrent CTC:Expected CTC:Notice Period:Current Location:Preferred Location:

DXC Technology India Pvt Ltd

Data Analyst

Alation Expert We’re looking for exceptional professionals who’ve mastered the Alation tool — people who can turn metadata into meaning and data into business impact.If you’ve worked hands-on with Alation for data cataloging, governance, or metadata automation, we’d love to connect!Domain: Telecom Data &amp; AI Share your updated resume now.

Incedo Inc

3D Artist

Machine Learning Engineer Coforge is seeking a Machine Learning Engineer for positions in Greater Noida, Pune, and Hyderabad with an immediate to 10-day notice period. Key Requirements:- Experience: 4–8 years in machine learning engineering, encompassing end-to-end model development and deployment.- Programming Skills: Proficiency in Python, with knowledge of ML libraries like TensorFlow, PyTorch, and Scikit-learn.- Framework Expertise: Hands-on experience with MLOps tools such as Kubeflow, Metaflow, Ray, MLflow, or Azure ML.- Cloud Platforms: Strong understanding of AWS, Azure, and GCP for deploying ML workflows.- Containerization: Proficiency in Docker and Kubernetes for containerized model deployment.- Workflow Automation: Familiarity with orchestration tools like Apache Airflow or Prefect for automating pipelines.- Data Engineering: Understanding data preparation processes, including SQL and NoSQL databases.- Version Control: Experience in data and model versioning using tools like DVC or Git.- Monitoring Tools: Knowledge of monitoring frameworks such as Prometheus, Grafana, or ELK stack for pipeline observability.- Problem-Solving: Strong analytical and debugging skills to optimize workflows and troubleshoot production issues.- Collaboration Skills: Effective communication and teamwork abilities to collaborate with cross-functional teams. Interested individuals can forward their resumes.

Coforge

Data Annotation Engineer

ML Lead Job Requirements:<ul><li>Lead and mentor a team of data scientists to deliver ML-driven solutions.</li><li>Develop and implement advanced analytics, ML, and predictive models.</li><li>Build solutions using Statistics, ML, Deep Learning, or Generative AI.</li><li>10+ years industry experience in Data Science/ML projects with 2+ years of team leadership experience.</li><li>Strong expertise in Machine Learning, with experience in models like SVM, Random Forest, XG Boost, forecasting, anomaly detection, etc.</li><li>Proficiency in Python, PySpark, SQL, and libraries like Scikit Learn, Pandas, Numpy, Spark.</li><li>Exposure to MLOps and cloud-based ML model deployment (Azure, AWS, GCP).</li><li>Good to have: Deep Learning, Generative AI (LLMs, prompt engineering, Vector DBs), TensorFlow, PyTorch, Keras.</li><li>Excellent leadership, communication, and problem-solving skills with a track record of delivering quality solutions.</li><li>Relevant certifications (e.g., Azure Data Scientist Associate, AWS ML Specialty) will be an added advantage.</li></ul> <ul><li>Experience - 10+ Years</li><li>Immediate Joiners Preferred</li></ul> Share your updated resume now.

Xoriant

Product Lead

GCP Data Engineer What We're Looking For:<ul><li>5–9 years of experience in DB/SQL or Java/Python development</li><li>Strong SQL skills with experience in complex queries and data transformation</li><li>Hands-on with GCP components like Dataflow, Composer, BigQuery, Data Fusion</li><li>Experience in building data pipelines and dashboards (Data Studio is a plus)</li><li>Excellent communication and problem-solving skills</li></ul> Experience: 5-9 years relevant If interested, kindly share your updated CV with below details:Current and Preferred Location:Overall and relevant experience with GCP:Current and expected CTC:Notice Period/LWD(If serving):

TEKsystems Global Services Pvt Ltd

Data Engineer

AI-ML Lead Engineer This job might be for you if<ul><li>You enjoy solving problems. You love taking on difficult challenges and finding creative solutions.</li><li>You don’t know the answer but will dig until you find it.</li><li>You communicate clearly. You write well.</li><li>You are motivated and driven. You volunteer for new challenges without waiting to be asked. You will take ownership of the time you spend with us and make a difference.</li><li>You can impress our customers with your enthusiasm to solve their issues (and solve them!)</li></ul> Job DescriptionAs an AI/ML Engineer at Eximietas, you will be responsible for designing, implementing and managing strategic consulting projects that leverage Machine Learning, Deep Learning including Generative AI algorithms. You will work closely with clients to understand their business processes and requirements, conduct proof of concepts (POCs) and convert POCs to long term strategic engagements to deliver cutting-edge AI/ML solutions that drives business value. Responsibilities<ul><li>Collaborate with clients to understand their business processes, goals, and requirements.</li><li>Design and implement AI/ML solutions using state-of-the-art techniques and methodologies.</li><li>Conduct proof of concepts (POCs) and pilots to validate the feasibility and effectiveness of AI/ML solutions.</li><li>Work with cross-functional teams to map AI/ML solutions to client business processes.</li><li>Perform data analysis, data preprocessing, and feature engineering as needed.</li><li>Conduct hypothesis testing, feature extraction, feature selection, cross-validation.</li><li>Develop and deploy machine learning models in a production environment.</li><li>Apply Natural Language Processing (NLP) techniques such as topic modelling, entity extraction, summarization and sentiment analysis to relevant projects OR Design and implement projects that are tailored to Computer Vision tasks, such as Image Classification, Object detection, Image segmentation.</li><li>Communicate findings and insights effectively to both technical and non-technical stakeholders.</li><li>Ensure project deliverables meet high-quality standards and are completed on time and within budget.</li></ul> Qualifications<ul><li>Bachelor’s or master’s degree in computer science, Machine Learning, Data Science or a related field.</li><li>At least 5 to 8 years of hands-on experience in designing and delivering AI/ML solutions.</li><li>Good understanding of concepts involving Probability, Statistics, Linear Algebra, Programming and basics of Machine Learning</li><li>Strong expertise in NLP tasks, including and not limited to Topic modelling, Entity Extraction, Summarization and Sentiment analysis OR Proficiency in Computer Vision tasks including and not limited to Object detection, Image segmentation, Image classification.</li><li>Experience working within a cloud solutions environment such as AWS, Azure or Google Cloud. Familiarity with Cloud AI services and tools is a plus.</li><li>Proficiency in programming languages such as Python or R.</li><li>Familiarity with popular AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).</li><li>Familiarity with MLOps is a plus</li><li>Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.</li><li>Strong communication and presentation skills.</li></ul>

Eximietas Design

Automation Process Engineer

Data Governance Specialist – Collibra We’re looking for experienced Collibra Professionals to play a critical role in designing, implementing, and optimizing data governance processes and solutions, with a strong focus on Collibra Data Catalog (mandatory) and Collibra Data Quality (DQ).Experience: 5+ YearsNotice Period: Immediate to 20 DaysScope: Critical role in designing, implementing, and optimizing data governance processes and solutions, particularly leveraging the Collibra platform – catalogue (mandatory) and DQ. Technical Expertise <ul><li> High level of proficiency in using Collibra Data Catalog for data governance activities, including workflow development and operational model design. </li><li> Expertise in metadata management and implementing metadata cataloging processes to enhance data discoverability, accessibility, and governance. </li><li> Proven experience supporting the design and implementation of data governance frameworks, policies, and procedures that ensure data integrity, security, and regulatory compliance. </li><li> Proficiency in Collibra workflow development, including custom workflow creation and optimization. </li><li> Familiarity with integration architecture to enable seamless interoperability between Collibra and other enterprise systems. </li><li> Collibra Ranger Certification </li><li> Collibra DQ expertise </li><li> Proficiency in Microsoft Office applications, especially Excel, for reporting and data analysis; SQL, HTML </li></ul> Functional Responsibilities <ul><li> Collaborate with cross-functional teams to establish and maintain data stewardship and ownership roles. </li><li> Manage metadata to ensure accuracy, consistency, and accessibility across the enterprise. </li><li> Implement and manage metadata cataloging processes to improve data discoverability and usability. </li><li> Utilize Collibra to drive data governance activities and provide training to teams to enhance adoption and maturity. </li><li> Lead or assist in project management activities related to data governance initiatives, ensuring timely delivery and stakeholder alignment. </li><li> Provide expert guidance and support to metadata stewards, ensuring compliance with governance policies. </li><li> Conduct training sessions, workshops, and demos for various stakeholders, including senior management, to promote data governance awareness and adoption. </li><li> Facilitate technical architecture discussions and provide recommendations aligned with industry best practices and organizational standards.</li></ul> If&nbsp;Interested, Share your CV.

Teamware Solutions

R/R Shiny Developer EY is looking for passionate developers skilled in R and R Shiny to join our team for an exciting project. Role: R/R Shiny DeveloperExperience: 4–6 yearsNotice Period: Up to 60 days maximum Key Skills:<ul><li> Strong hands-on experience with R and R Shiny. </li><li> Experience building and deploying interactive dashboards using R Shiny</li><li> Familiar with SQL, Git, and API integrations</li></ul> If this sounds like you and you can join within 60 days, send your resume with the following details:- Current CTC: - Expected CTC:- Notice Period:- Current Location:- Preferred Location:

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