Ml Engineer

Huron Consulting Group Inc

2+ years production ml deployment experience
Strong python and javascript programming skills
Experience with azure machine learning or aws sagemaker
This role involves owning the full ML solution lifecycle from problem definition through production deployment for Fortune 500 clients

Job Summary

  • This role involves owning the full ML solution lifecycle from problem definition through production deployment for Fortune 500 clients.
  • You will work on high-impact systems such as agentic demand forecasting, intelligent knowledge processing pipelines, and energy grid simulations.
  • The position requires a willingness to travel approximately 30% to client sites while collaborating with cross-functional teams.

Matching Summary

This role involves owning the full ML solution lifecycle from problem definition through production deployment for Fortune 500 clients.

Skills & Requirements

Must-have

  • 2+ years production ML deployment experience
  • Strong Python and JavaScript programming skills
  • Experience with Azure Machine Learning or AWS SageMaker
  • Proficiency in SQL, Snowflake, and Databricks
  • Knowledge of LLMs, RAG systems, and agent frameworks

Nice-to-have

  • Experience in Financial Services or Manufacturing industries
  • Background in forecasting and optimization modeling
  • Contributions to open-source ML projects
  • Azure AI Engineer or AWS ML Specialty certification
  • Consulting experience across multiple domains

Key Requirements

  • Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related field
  • Willingness to travel 30% to client sites
  • 3+ years experience for Senior Associate level

Work Rights

Not specified

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