AI Product Data Scientist (Agentic Systems & Product Ecosystem)

Tekskills Inc.; Delhi; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Tekskills Inc. is seeking an AI Product Data Scientist in Delhi to bridge AI research, data science, and product engineering. You will design, build, and scale intelligent autonomous systems across enterprise products, working with cross-functional teams to deliver AI-driven features.

The role requires expertise in data science and ML, experience with agentic AI frameworks, and strong programming skills to implement end-to-end solutions across APIs, data platforms, and automation pipelines.

Qualifications

• Strong experience in Data Science, ML, and AI product development.
• Expertise in Agentic AI frameworks.
• Solid programming skills and experience applying ML/AI to 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).
• Translate business requirements into AI solutions with product teams.
• 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 dev

Agentic AI

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 (…)
• Experience …
• Solid programming skills …
• …
• …
• …