GEN AI Data Scientist Engineer

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Senior GenAI Data Scientist / AI Engineer (LLM, RAG, Agentic AI)

Job Summary

We are seeking a highly skilled GenAI Data Scientist / AI Engineer with strong expertise in Machine Learning, Generative AI, and Agentic AI systems.

The ideal candidate will design, build, and deploy scalable AI/ML and GenAI solutions, including LLM-based applications, RAG pipelines, and intelligent AI agents, while ensuring performance, scalability, and business impact.

Key Responsibilities

Machine Learning & Data Science

• Design, build, and deploy ML models using:
• XGBoost, LightGBM, Scikit-learn
• Perform:
• Model training, validation, and optimization
• Translate business problems into data-driven solutions
  
  

Generative AI & Agentic AI

• Design and implement:
• LLM-based applications
• AI agents and workflows
• Work with frameworks like:
• LangChain / LangGraph / CrewAI / AutoGen
• Enable:
• Tool calling
• Task automation
• Multi-agent orchestration
  

RAG & Knowledge Systems

• Build Retrieval-Augmented Generation (RAG) pipelines
• Work with:
• Vector databases
• Embeddings
• Develop knowledge-based AI systems
  
  

Model Deployment & MLOps

• Deploy models into production environments
• Implement:
• CI/CD pipelines
• MLflow / model monitoring
• Ensure:
• Model performance
• Scalability
• Reliability
  

Cloud & Data Engineering

• Work on cloud platforms:
• AWS / Google Cloud Platform
• Build scalable data pipelines and ML workflows
  
  

Monitoring & Optimization

• Monitor:
• Model performance
• Data drift
• Continuously improve models and pipelines
  
  

Security & Compliance

• Ensure:
• Data security
• Compliance standards
• Implement governance for AI systems
  
  

Collaboration & Communication

• Engage with:
• Business stakeholders
• Engineering teams
• Translate business requirements into AI solutions
• Communicate model insights clearly
  
  

Required Skills

Machine Learning (MANDATORY)

• Strong experience with:
• XGBoost
• LightGBM
• Scikit-learn
  

Programming

• Python (mandatory)
  
  

Generative AI

• LLMs (GPT, Claude, etc.)
• Prompt engineering
• AI agents / Agentic workflows
  
  

RAG Systems

• Vector databases
• Embeddings
• Retrieval pipelines
  
  

MLOps & Deployment

• Model deployment
• CI/CD pipelines
• MLflow / monitoring tools
  
  

Cloud Platforms

• AWS / Google Cloud Platform
  
  

Statistics & Analytics

• Strong statistical modeling
• Data analysis and interpretation
  
  

Experience Required

• 8 years of experience in:
• Data Science / Machine Learning
• Hands-on experience in:
• Generative AI (intermediate level)
  

Preferred Skills

• Experience with:
• LangChain / CrewAI / AutoGen
• Vector DBs (Pinecone, FAISS, etc.)
• Experience in:
• Agentic AI systems
• Exposure to:
• Real-world GenAI applications