Data Scientist (AI/ML) in Bengaluru, India

... retrieval-augmented generation (RAG) systems Develop and optimize prompts, evaluation frameworks, and guardrails for LLM-powered applications Engineer scalable data and ML pipelines in Databricks using PySpark, Delta Lake, and MLflow Deploy, monitor, and maintain models in production on Azure (Azure AI Foundry, Azure OpenAI, Azure ...

... technology, data-driven decision-making, and industry expertise to deliver fast, flexible financing options that traditional lenders often cannot provide. As a Senior Data Scientist on the Credit & Fraud Risk Team, you will take ownership of the end-to-end lifecycle of predictive machine learning models. You'll play a foundational ...

Role Summary : The Senior Data Scientist will lead advanced analytics initiatives, leveraging AI/ML, Generative AI (GenAI), and Agentic AI to deliver decision intelligence solutions. This role involves designing solutions, collaborating with cross-functional teams, and mentoring junior data https://jobeax.com/link/jOXlfQ8JM0UfgeL3 ...

• Hybrid

... scalable solutions Generate actionable insights through data analysis and modeling Deploy, monitor, and improve model performance Qualifications - Bachelor's/Master's in Computer Science, Data Science, Engineering, or related field - 3–8 years of relevant experience Skills: data scientist,genai,python,sql,pyspark,aiml,ml

... a skilled Data Scientist to join our team, focusing on the development and implementation of advanced AI models. The ideal candidate will leverage generative AI and large language models (LLM) to enhance our data-driven decision-making processes. Key responsibilities : Design and develop data models using generative AI ...

... Develop GenAI/NLP applications, and/or time-series, computer vision, commercial analytics models. Build production-ready solutions applying MLOps best practices (MLflow, CI/CD, monitoring, data quality). Apply data science methods, machine learning tools, visualization and/or statistical techniques along with domain knowledge ...

• Hybrid

... explainability, and business outcomes Contribute to best practices for model governance, feature lineage, documentation, testing, interpretability, and responsible AI Guide technical decisions on ML solution design, operationalization patterns, and production support expectations Mentor other data scientists and ML engineers ...

... Scikit-learn) and statistical analysis. Time series models (Prophet, XGBoost, LSTM for Azure ML). Model performance tracking and retraining strategies using Azure ML. Exposure to AI based solutions in areas of Search, product meta-data generation or discovery. Experience in designing and implementing Data Science best practices ...

$100 USD

... novel measurement approaches Ideal For: Senior and Staff data scientists who want one of the hardest, most consequential analytics surfaces in AI software Applied ML practitioners who'd rather build the pipeline than wait for one Analysts who moved into ML and never stopped shipping Anyone drawn to where classical ML, LLM-native ...

... cross-validation, hyperparameter tuning, feature engineering, and model comparison. Experience selecting appropriate algorithms based on business objectives, data characteristics, interpretability requirements, and model performance. Experience with model interpretability and explainability, using techniques such as SHAP, ...

... seamlessly, and access financial tools tailored to their goals. We are working to build personalized financial journeys for our clients, powered by new-age tech, AI, Machine Learning and Data Science. Be part of a team that's scaling sustainably, thinking big, and building for the next billion. Tech Systems that run at Scale: ...

Principal Data Scientist - 7+ Years - BangaloreWe are hiring a Principal - Data Scientist with GenAI for a leading global AI and analytics organization. The role offers an opportunity to work on complex business problems and develop, implement and deploy Machine Learning and Generative AI solutions across https://jobeax.com/link/iWvc74qOaz1N3AKd ...

... solutions. - Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) to support model development. - Build and deploy end-to-end ML pipelines, including model training, evaluation, and serving in production environments. - Monitor and maintain deployed models to ensure robustness, scalability, ...

• Remote

... evaluation. - Experience building multi-agent systems using frameworks such as CrewAI, LangChain/LangGraph or similar. - Familiarity with vector databases and embedding pipelines. - Experience deploying ML/LLM solutions in production with MLOps practices (e.g., MLflow, CI/CD) on cloud platforms (AWS/Azure/GCP/Databricks).

... personalization.- Perform feature engineering, data wrangling, model selection, hyperparameter tuning, and model evaluation.- Monitor model performance and ensure robust ML lifecycle management using tools like MLflow and Airflow.- Document processes and present insights, findings, and recommendations to both technical and non-technical ...

• Hybrid

13k

... help the company make better and faster decisions. Our centralized Data & Analytics department is organized into specialized groups including Applied Statistics, AI/Machine Learning, Operations Research, and Generative AI. As an Advanced Data Scientist in the AI/ML team at Eastman, you will develop, implement, and operationalize ...

• Hybrid

... learning as applied in computer vision, Experience with LLMs, Ecommerce domain. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail ...

... statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc. - Contribute to internal product development initiatives related to data science. - Develop data science roadmap, and guide data scientist to meet their deliverables. - Handling end-to-end client AI & analytics programs. Your role ...

... Forecasting.- Programming and Data : Python, SQL, Data Wrangling.- ML Engineering : End-to-End ML Solution Development, Model Deployment, Production Monitoring.- Emerging AI : Generative AI, Agentic AI Frameworks, Rapid Prototyping (PoCs).- Analytics and Mindset : Exploratory Data Analysis, Deep-Dive Analytics, Problem Solving, Curiosity, ...

• Full-time

... Functions , or similar orchestration tools. Collaborate with Data Analysts and Data Scientists to deliver clean, structured, and analytics-ready datasets. Optimise data pipelines for performance, scalability, reliability, and AWS cost efficiency . Integrate data from multiple internal and external systems while maintaining data ...