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4 Weeks ago

Neo Group - Artificial Intelligence/Machine Learning Engineer - Generative AI

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Mumbai, Maharashtra, India
Information Technology
Full-Time
Neo Wealth and Asset Management

Overview

About The Role

We are hiring an AI & ML Lead to own the design, quality, and evolution of Neo's AI-native decision systems across wealth and broking platforms.

This role sits at the intersection of AI engineering, ML systems, and business-critical decisioning.

You will set the technical bar, guide architecture choices, and ensure AI systems are reliable, explainable, and regulator-ready.

This is not a research role and not a reporting role.

You are accountable for how AI behaves in production.

Key Responsibilities

  • Own the end-to-end architecture of AI & ML systems across Neo
  • Define agentic, decision-driven AI patterns (rules + ML + LLMs)
  • Review and approve models before they enter production
  • Set standards for evaluation, monitoring, and failure handling
  • Guide AI Engineers and ML Engineers on system design and trade-offs
  • Partner closely with Product, Risk, Compliance, and Engineering leaders
  • Ensure AI systems meet latency, trust, and auditability requirements
  • Take final ownership during incidents involving AI/ML behavior

Required Skills & Experience

  • 6+ years building production-grade AI / ML systems
  • Strong system design and architectural thinking
  • Experience with real-time decision or scoring systems
  • Proven ability to debug and stabilize AI systems in production
  • Experience leading technical teams or acting as a tech bar-raiser

Good To Have

  • Experience in fintech, trading, or regulated domains
  • Background in risk, fraud, or decision engines
  • Exposure to agentic AI or complex workflow systems
  • Experience working with compliance, audit, or governance teams

What We Value

  • Engineers who think in systems, not models
  • Strong judgement under ambiguity
  • Bias toward reliability and trust over novelty
  • Ability to raise the bar without slowing teams down
  • Ownership mindset - AI outcomes are your outcomes

Role Expectations (Important)

This Role Is Expected To

  • Review designs, not just code
  • Say "no" to unsafe or premature AI usage
  • Balance speed with correctness
  • Build an AI-native culture across teams

(ref:hirist.tech)

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