ML Engineer

HyperNorm AI • Machine Learning • Financial Software & Embedded Finance • Python • 2 months ago
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Salary
≈ $23k – $53k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Middle · 3+ years exp

First seen by Alion on Aug 24, 2026.

Overview
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Profile match

HyperNorm AI

HyperNorm AI is a fintech startup that delivers AI-powered portfolio intelligence for fund managers, advisors and investors, combining deep learning with causal reasoning to enable faster financial decision-making.
hypernorm.ai • HQ: Bengaluru, India • Financial Data & Market Intelligence • AI Agents • Est. 2024
Tech stack of HyperNorm AI
Backed by Senseai

Responsibilities:

  • Build and deploy ML models for real-world business problems.
  • Design and optimise RAG pipelines and retrieval systems.
  • Develop LLM-powered agents and workflow automation systems.
  • Work closely with founders, product, and engineering teams.
  • Translate ambiguous problems into scalable AI solutions.
  • Continuously improve model performance, accuracy, and reliability.

Requirements:

  • 3-7 years of experience in Machine Learning / Applied AI.
  • Strong foundation in Machine Learning, Statistics, and Probability.
  • Hands-on experience with Python and ML frameworks
  • Experience building RAG systems and LLM-powered applications
  • Understanding of agentic workflows, tool calling, and orchestration.
  • Strong problem-solving skills and product mindset.
  • Ability to move quickly from prototype to production.
  • Strong academic background with a B. Tech/M. Tech from a Tier-1 institution and demonstrated excellence in quantitative subjects.

Bonus Points:

  • Experience in fintech, wealth tech, or financial services.
  • Experience with LangGraph, LlamaIndex, LangChain, CrewAI, or similar frameworks.
  • Experience building production-grade AI systems.
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