Staff Machine Learning Engineer

HG Insights

Pune, India
Not specified; not specified; competitive compensa...
On-site
8+ years industry experience
4+ years ml engineering or mlops
Python programming skills
HG Insights is seeking a Staff Machine Learning Engineer for their Pune, India location, focusing on designing and scaling machine learning systems that drive their core data intelligence products. The role requires strong technical skills in ML engineering, cloud platforms, and collaboration with cross-functional teams, emphasizing ownership and scalability in deploying AI solutions

Job Summary

  • HG Insights is the global leader in technology intelligence helping innovative companies accelerate go-to-market efforts with precision.
  • This role involves designing end-to-end ML pipelines and productionizing AI agents including LLM-backed workflows and multi-step tool use.
  • Candidates will lead technical architecture while mentoring junior engineers to elevate technical practices across the engineering organization.

Matching Summary

Match Score: 85

HG Insights is seeking a Staff Machine Learning Engineer for their Pune, India location, focusing on designing and scaling machine learning systems that drive their core data intelligence products. The role requires strong technical skills in ML engineering, cloud platforms, and collaboration with cross-functional teams, emphasizing ownership and scalability in deploying AI solutions.

Salary

Not specified; Not specified; Competitive compensation and benefits tailored for India-based employees

Skills & Requirements

Must-have

  • 8+ years industry experience
  • 4+ years ML engineering or MLOps
  • Python programming skills
  • PyTorch TensorFlow scikit-learn experience
  • Production deployment of AI agents
  • LangChain LlamaIndex framework familiarity
  • LLM integration with vector stores

Nice-to-have

  • Streaming pipeline experience
  • Online inference capabilities
  • Model monitoring at scale
  • Agent memory and feedback loops
  • Open-source ML contributions
  • Customer-facing AI product exposure

Key Requirements

  • Bachelor's or Master's degree in Computer Science or Engineering
  • 8+ years total industry experience
  • 4+ years specifically in ML engineering or MLOps
  • Experience with AWS cloud platforms
  • Proficiency with Docker and Kubernetes

Work Rights

Not specified

Tailored Resume

Cover Letter