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ML Engineer I

UST · Posted today

  • Mumbai, Maharashtra, India (On-site)
  • Full-time
  • 4-8 yrs

About the role

Role Description

Role: AI Forward Engineer – Apollo ISG Nesco Experience: 4 to 8 years. Location: Mumbai, Nesco. What the role does

  • Build production Gen AI and agentic components inside our operations platforms, primarily document and email reading, extraction, classification and enrichment feeding downstream posting into PAM and other systems.
  • Design prompt and configuration driven pipelines so a reader built for one workflow can be extended to another asset class or servicer without a code rewrite.
  • Own the accuracy and control layer, deterministic validation, exception routing, evaluation harnesses and regression testing of model outputs.
  • Work directly with Loan Ops and Investment Ops users to convert manual processes into straight-through flows, including requirement shaping, not just delivery.
  • Ship end to end, API, workflow orchestration and the front end needed for Ops to review and act on exceptions. Must have
  • Strong Python, plus one of C#/.NET or TypeScript. Solid SQL.
  • Hands-on production experience with LLM applications, RAG, structured extraction from unstructured documents and emails, prompt engineering and output validation. Agent frameworks and tool/function calling.
  • Cloud native delivery on Azure/AKS, containers, CI/CD.
  • Workflow orchestration experience, Temporal preferred.
  • Ability to work directly with business users and translate an operational process into a system design. Good to have
  • Financial services operations background, loan servicing, remittance, custody, accounting or investment operations.
  • Snowflake or similar data platform, React front end exposure, Okta based access models.
  • Evaluation and observability tooling for AI systems. What we are screening for
  • Evidence of AI features actually running in production with users, not proof of concept work.
  • Judgement on where AI should and should not be used, and comfort putting deterministic controls around model output.
  • Speed and ownership. This team ships small increments directly to Ops every sprint.

Skills

Agentic AI, C#, Python, TypeScript, SQL

Skills

PythonC#TypeScriptSQLLLM applicationsRAGstructured extractionprompt engineeringagent frameworkstool callingAzure AKScontainers CI/CD
ML Engineer I at UST, Mumbai, Maharashtra, India (On-site) | Quark9