AI ML Engineer

Pune - Hinjewadi (Ascendas)onsitemid

Posted yesterday · via Workday

About this role

Must Have • Strong proficiency in Python. • Hands-on experience with LLMs and prompt engineering. • Expertise in Azure OpenAI SDKs, APIs, and deployment strategies. • Knowledge of agentic systems and Model Context Protocol (MCP). • Familiarity with cloud integration, REST APIs, and containerization (Docker/Kubernetes). JOB DESCRIPTION Senior Engineer – Enterprise AI Search & Retrieval (Azure AI Search, Azure OpenAI, RAG): This role requires hands‑on experience building secure, AI search and retrieval for large‑scale enterprise document platforms using Azure AI Search and Azure OpenAI. 1. Enterprise Document Platform Experience with large‑scale enterprise document repositories 2. AI Search & Retrieval Foundations Strong understanding of: a. Retrieval‑Augmented Generation (RAG), b.…

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What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, java, rest, azure, kubernetes…

2

Level fit

This role is mid-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Pune - Hinjewadi (Ascendas). We weight your proximity and willingness to relocate.

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Skills in this role

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pythonjavarestazurekubernetesopenai

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