Data Science Engineer

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Position Summary

We are seeking a highly skilled Data Scientist Generative AI to design, develop, and deploy AI-powered solutions using Large Language Models (LLMs), Machine Learning, and advanced analytics. The ideal candidate will have hands-on experience in building GenAI applications such as RAG systems, AI agents, chatbots, document intelligence solutions, and predictive analytics platforms.

Key Responsibilities

• Design and develop Generative AI solutions using LLMs (GPT, Llama, Mistral, Gemini, etc.).
• Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models.
• Fine-tune and evaluate foundation models for enterprise use cases.
• Develop scalable ML and GenAI applications using Python and cloud platforms.
• Create data pipelines for data ingestion, preprocessing, feature engineering, and model deployment.
• Implement prompt engineering, model optimization, and evaluation frameworks.
• Collaborate with business stakeholders to translate requirements into AI solutions.
• Deploy and monitor AI models in production using MLOps best practices.
• Develop APIs and microservices for AI model consumption.
• Ensure responsible AI practices, security, governance, and model reliability.

Required Skills

Programming

• Python, SQL
• Pandas, NumPy, PySpark

Machine Learning & Data Science

• Supervised & Unsupervised Learning
• Feature Engineering
• Statistical Analysis
• Time Series Forecasting
• Model Evaluation & Optimization

Generative AI

• LLMs (GPT, Llama, Mistral, Gemini)
• Prompt Engineering
• RAG Architecture
• Embeddings
• Vector Databases (FAISS, ChromaDB, Pinecone, Qdrant)
• LangChain, LangGraph, LlamaIndex
• AI Agents / Agentic AI

SKILL- DS GENAI

NP-IMMEDIATE JOINERS

EXPERIENCE- 4 TO 8 MINIMUM( FRESHERS OR LESS EXP PLZ DONT APPLY)

LOCATION-PAN INDIA

KINDLY SHARE YOUR RESUMES ON PRIYANKA.PARIKH@LTM.COM