Senior Machine Learning Engineer – Llm & Ml Systems

Solarwinds

Bangalore, India
On-site
Production-grade machine learning systems
End-to-end ml pipelines
Llm-powered capabilities
Design and build production-grade machine learning systems that power intelligent capabilities across the SolarWinds observability platform

Job Summary

  • Design and build production-grade machine learning systems that power intelligent capabilities across the SolarWinds observability platform.
  • Build and integrate LLM-powered capabilities, such as Retrieval-Augmented Generation (RAG) pipelines and intelligent automation features.
  • Support a culture of strong engineering practices including code quality, documentation, and collaborative development.

Matching Summary

Design and build production-grade machine learning systems that power intelligent capabilities across the SolarWinds observability platform.

Skills & Requirements

Must-have

  • production-grade machine learning systems
  • end-to-end ML pipelines
  • LLM-powered capabilities
  • MLOps best practices
  • Python programming
  • cloud platforms (AWS, Azure, GCP)
  • containerized environments (Docker, Kubernetes)

Nice-to-have

  • people-first company culture
  • collaborative and accountable
  • innovative and fast-paced environment
  • strong engineering practices

Key Requirements

  • 5+ years experience in ML/software engineering
  • Hands-on with ML frameworks (PyTorch, TensorFlow, scikit-learn)
  • Experience deploying ML models in production
  • Experience with MLOps tools or workflows
  • Experience with data pipelines or large-scale data processing
  • Exposure to LLM frameworks or AI tooling
  • Strong problem-solving skills

Work Rights

Not specified

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