Job Summary

Experience: 3 to 12 Years

Role Overview

We are looking for an AI Product Data Scientist with robust expertise in Agentic AI systems and product ecosystem architecture . The ideal candidate will bridge AI research, data science, and product engineering to design, build, and scale intelligent autonomous systems across enterprise products.

Responsibilities
Design and develop agentic AI systems (multi-agent workflows, autonomous decision systems, orchestration frameworks).
Build AI-driven product features across end-to-end product ecosystems (APIs, services, data platforms, automation pipelines).
Work closely with product managers, engineering teams, and stakeholders to translate business requirements into AI solutions.
Develop ML/LLM models, embeddings, vector search, recommendation systems, and predictive analytics pipelines.
Architect RAG pipelines, AI copilots, enterprise automation workflows, and AI-first product integrations.




Ensure AI systems are scalable, reliable, explainable, and production-ready.
Drive experimentation, model evaluation, and continuous improvement in AI products.

Required Skills & Qualifications
Solid experience in Data Science, ML, and AI product development.
Expertise in Agentic AI frameworks (LangGraph, AutoGen, CrewAI, or custom orchestration).
Experience with LLMs, RAG, embeddings, vector databases (Pinecone, FAISS, Weaviate, etc.).
Solid programming skills in Python (FastAPI, ML libraries, data pipelines).
Experience designing AI product ecosystems (microservices, APIs, event-driven systems, cloud-native architectures).
Knowledge of cloud platforms (AWS/GCP/Azure) and MLOps pipelines.
Solid understanding of product metrics, experimentation, and AI-driven product strategy.

📌 Data Scientist Bengaluru
🏢 Tekskills
📍 Bengaluru