Data Scientist Ml Ai Python in Gurugram, India is listed on Jobeax. Browse 30,000+ vacancies available.
Experience - 3–8 Years Location - Gurgaon Working hours - 2-11pm Notice period - Immediate to 15 days
Key Responsibilities Design, develop, and deploy Machine Learning and Generative AI solutions. Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources. Develop AI agents using Agentic AI frameworks such as LangGraph, LangChain, CrewAI, or similar technologies. Integrate AI agents with enterprise APIs, tools, databases, and external services. Develop prompts, tool-calling workflows, and structured output pipelines for LLM applications. Fine-tune, evaluate, and optimize LLM-powered applications for accuracy, latency, and cost. Implement data preprocessing, feature engineering, and ML model training workflows. Work with structured and unstructured datasets to solve business problems. Collaborate with Product Managers, Software Engineers, and Subject Matter Experts to deliver AI-driven features. Monitor model and agent performance and participate in troubleshooting and continuous improvements. Write clean, maintainable, and well-tested Python code following engineering best practices. Stay updated with the latest advancements in Machine Learning, LLMs, and Agentic AI technologies.
Required Technical Skills Strong proficiency in Python Machine Learning fundamentals Natural Language Processing (NLP) Generative AI and Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) Embeddings and semantic search Model evaluation and validation techniques
... Machine Learning models and their https://jobeax.com/link/MJvWAZuK638tHuBb RESPONSIBILITIES : Tech Stack & Skills : - Experience in model development using Python/PySpark libraries. Development on Databricks or Dataiku DSS is a plus.- Strong experience on Spark with Scala/Python/Java.- Proficiency in building, training, ...
based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide ...
... Machine Learning models and their https://jobeax.com/link/MJvWAZuK638tHuBb RESPONSIBILITIES : Tech Stack & Skills : - Experience in model development using Python/PySpark libraries. Development on Databricks or Dataiku DSS is a plus.- Strong experience on Spark with Scala/Python/Java.- Proficiency in building, training, ...
... Celery or other queue mechanism is Must Good to Have: - Experience working with Docker and cloud platforms (AWS/GCP/Azure) is good to have - Familiarity with ML model serving is Nice to have. - Exposure to GenAI (e.g., llama, OpenAI, HuggingFace, LangChain, Agentic AI etc) or Data Engineering (e.g., Data platforms, pandas, ...
... comfortable using LLMs/AI copilots as part of daily workflow (analysis, documentation, communication, process design), not just as a novelty. - Experience working with AI/ML teams and understanding of how annotated data feeds into model training. - Strong understanding of quality frameworks (QA/QC) for spatial data and annotation ...
... clients span autonomous mobility, medical AI, agriculture, and more—powering next-generation AI systems with high-quality data services. We are seeking a skilled Data Engineer to help scale and enhance our internal data observability and analytics platform. This platform integrates with data annotation tools and ML pipelines ...
... query optimization and data access strategies for APIs serving real-time compliance dashboards, establishing benchmarks and SLOs Lead data infrastructure work for AI/ML features, including dataset curation, feature engineering, and pipeline design supporting cloud-native AI capabilities Define and enforce data quality standards, ...
... Pipeline, ETL/ELT, and Data Warehousing. - Effective use of AI and/or LLMs to increase efficiency in deliverables. - Extensive experience working with various data sources (DB2, SQL,Oracle, flat files (csv, delimited), APIs, XML, JSON). - Experience implementing data integration techniques such as event/message based integration ...
# AI Engineer / Data Scientist - GenAI & Agentic AI- Experience : 5-7 Years- Location : Bangalore- Joining : Immediate to 15 Days- Job Summary :We are looking for a hands-on - AI Engineer / Data Scientist- with strong experience in - Generative AI, Agentic AI, LLMs, RAG, and Python- to design, develop, deploy, and optimize ...
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 ...
... performance.- Develop and optimize AI-driven extraction workflows using document parsing, chunking, embeddings, RAG, and LLM-based extraction methods.- Deploy and scale AI models on AWS and Azure (SageMaker, Bedrock, Azure AI Foundry) with seamless integration into data pipelines.- Build and maintain CI/CD pipelines for AI model ...
... performance.- Develop and optimize AI-driven extraction workflows using document parsing, chunking, embeddings, RAG, and LLM-based extraction methods.- Deploy and scale AI models on AWS and Azure (SageMaker, Bedrock, Azure AI Foundry) with seamless integration into data pipelines.- Build and maintain CI/CD pipelines for AI model ...
... applications. We are hiring passionate AI Software Engineers (Data Scientists) with experience in Python Programming Language, Machine Learning and Generative AI to join our technology team. As a key member, you will play a crucial role in designing, developing, and maintaining data-driven applications. As an AI Software ...
... 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).
... 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, ...
... Computer Science, Data Science, AI/ML, or a related field. - 3+ years of experience in data science or machine learning roles. - Proven experience with Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services. - Strong programming skills in Python and experience with ML libraries (e.g., Experience with NLP techniques ...
... Data, Cloud Infrastructure, Data Engineering, and Applied Artificial https://jobeax.com/link/Z4S3vFYKsGGU38on Overview :We are seeking an experienced Senior Data Scientist with end - to - end expertise in modern Generative AI, Large Language Models (LLMs), Agentic workflows, and cloud - native ML infrastructure (Databricks ...
... Data, Cloud Infrastructure, Data Engineering, and Applied Artificial https://jobeax.com/link/Z4S3vFYKsGGU38on Overview :We are seeking an experienced Senior Data Scientist with end - to - end expertise in modern Generative AI, Large Language Models (LLMs), Agentic workflows, and cloud - native ML infrastructure (Databricks ...
... 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, ...