Machine Learning Automation Engineer

Job description

Job responsibilities

• Design and improve ML/DL algorithms on large-scale data to automate test and triage workflows.
• Build and run agentic LLM systems (e.g., Claude or Gemini) that automate triage, from prototype to production.
• Run multiple production pipelines: monitor them, respond to issues, and fix the root causes.
• Work with stakeholders across data science, ML, autonomous drive planning, and quality assurance.
• Build monitoring tools and use them to keep improving your algorithms in production.

Job requirements

• PhD or Master's in a STEM field and 4+ years in Triage, Performance Analytics, for fortune 500 including infrastructure as code, ML, NLP, or deep learning.
• Strong productionization, CI/CD experience for medium to large projects Python,, with a solid grasp of dashboards, eval, algorithms and data manipulation.
• Experience with RAG, PyTorch, TensorFlow, or HuggingFace
• Has built or managed agentic LLM systems (Claude or Gemini) in a professional setting with large dataset to satisfy multiple stakeholders.
• Has run multiple production pipelines on platforms like Databricks and AWS, including fixing production issues.
• Experience with self correcting models, installation and maintenance of LLMs, data visualization tools like Looker/Dash/Databricks Dashboards
• Experience in Performance Monitoring at Scale, Support environments, autonomous driving, robotics.
• Strong verbal and written communication skills