Senior Data Scientist

Dear Candidate,

Straive is hiring for Senior Data Scientist, Please refer the JD below for your reference.

Senior Data Scientist :-

Experience: 6+ Years AI/ML Space (2+ Years specifically in Generative AI/LLMs)

Location: Hyderabad, Bangalore

Type: Full-time

About the Role

We are looking for a high-impact Senior Data Scientist with a strong engineering foundation to join our AI team. You will go beyond standard analytics, building and optimizing production-grade Generative AI solutions. You will be responsible for creating RAG systems, integrating multimodal models, and implementing agentic workflows that turn unstructured data into business insights and automated actions.

Responsibilities

• Production RAG Development: Build and optimize end-to-end RAG systems, implementing Hybrid Search (dense vector embeddings + BM25) and advanced reranking strategies to maximize retrieval precision.
• Multimodal AI Workflows: Integrate Vision-Language Models (e.g., GPT-4o, Claude 3.5, Idefics) to analyze visual data, documents, and images for automated insights extraction.
• Advanced Prompt Engineering: Develop, test, and maintain complex prompt strategies (Chain-of-Thought, ReAct) using OpenAI/Anthropic APIs and the Hugging Face ecosystem.
• Vector Database Management: Design indexing strategies and manage high-dimensional data at scale within vector stores such as Pinecone, Weaviate, Milvus, or Pgvector.
• High-Performance Python Engineering: Write scalable, asynchronous Python code (FastAPI/asyncio) to handle high-throughput AI API calls and API-based data processing.
• Agentic Orchestration & Deployment: Use LangChain or LlamaIndex to orchestrate LLM workflows and deploy containerized applications using Docker and Kubernetes on cloud platforms (AWS/Azure/GCP).
• Data Intelligence: Perform advanced NLP preprocessing (semantic chunking, metadata filtering) to improve context quality for LLMs.

Technical Requirements

• Experience: 6+ years in AI/ML, with 2+ years of hands-on experience building/deploying Generative AI applications.
• Languages: Expert-level Python programming (asynchronous, OOPs, high-performance).
• GenAI/LLM Ecosystem: Deep proficiency with OpenAI, Anthropic, LangChain, LlamaIndex, and Hugging Face.
• RAG & Search: Hands-on experience with vector databases (Pinecone, etc.) and Hybrid Search implementation.
• Multimodal: Experience with VLMs for document intelligence or image understanding.
• Cloud & DevOps: Containerization (Docker) and Cloud AI services (AWS/Azure/GCP)