AI Product Data Scientist (Agentic Systems & Product Ecosystem)

Tekskills; Gurugram District; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

Tekskills in India seeks an AI Product Data Scientist to bridge AI research, data science, and product engineering. You will design, build, and scale autonomous systems across enterprise product ecosystems.

You will work with product managers and engineers to translate business needs into AI solutions, develop ML/LLM models, embeddings, and vector search, and ensure production-ready, scalable, explainable AI.

Qualifications

• Strong 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.

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.

Skills

Data Science

Machine Learning

AI product development

Agentic AI

Python

FastAPI

LLMs

RAG

Vector databases

Cloud platforms

AWS

GCP

Azure

MLOps

Embeddings

Weaviate

Tools

Pinecone

FAISS

Weaviate

LangGraph

AutoGen

CrewAI

APIs

Job description

Job Summary

We are looking for an AI Product Data Scientist with strong 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.

Qualifications

• Strong 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.
• Strong to current