Staff Software Engineer -ml/ai

Lookoutinc

Hyderabad, India
On-site
Full ml lifecycle ownership
Ml/ai system frameworks
Production ml infrastructure (mlops)
Own the full machine learning lifecycle, from initial research and design to production deployment, monitoring, and continuous retraining

Job Summary

  • Own the full machine learning lifecycle, from initial research and design to production deployment, monitoring, and continuous retraining.
  • Address and navigate real-world scale and performance challenges, ensuring all ML/AI models and systems are efficient, robust, and maintain target quality/latency under production constraints.
  • Set technical direction as a senior Individual Contributor (IC) and mentor junior engineers.

Matching Summary

Own the full machine learning lifecycle, from initial research and design to production deployment, monitoring, and continuous retraining.

Skills & Requirements

Must-have

  • Full ML lifecycle ownership
  • ML/AI system frameworks
  • Production ML infrastructure (MLOps)
  • Python and ML frameworks (PyTorch, TensorFlow)
  • LLM/RAG stack components
  • Secure, scalable API services

Nice-to-have

  • Advanced model efficiency techniques
  • Efficient LLM fine-tuning
  • Coding agents experience
  • Event streaming frameworks
  • Serverless architectures
  • Containerization (Docker, Kubernetes)

Key Requirements

  • 5-8 years of work experience
  • BS/MS in Computer Science or related field
  • Architecting and deploying ML/AI systems
  • Cross-functional collaboration experience
  • Expert proficiency in Python
  • Deep expertise in ML algorithms
  • Up-to-date with NLP and LLM advances

Work Rights

Not specified

Tailored Resume

Cover Letter