AI Product Data Scientist (Agentic Systems & Product Ecosystem)

Tekskills Inc.

Mumbai

In loco

INR 1.800.000 - 2.400.000

Tempo pieno

5 giorni fa

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Descrizione del lavoro

Tekskills Inc. is seeking an AI Product Data Scientist to bridge AI research, data science, and product engineering across enterprise ecosystems in Mumbai. You will design, build, and scale autonomous AI systems, APIs, data platforms, and automation pipelines.

You'll work with product managers and engineers to translate business requirements into scalable AI solutions, develop ML/LLM models, embeddings, vector search, and recommendations, and ensure production readiness and explainability.

Competenze

Strong experience in Data Science, ML, and AI product development.
Expertise in Agentic AI frameworks.
Solid programming skills.

Mansioni

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.

Conoscenze

Data Science

AI product development

Agentic AI frameworks

Programming skills

Descrizione del lavoro

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