ML Engineer

  • 41126
  • Non-Life - AI & Machine Learning Engineering
  • |
  • United States
  • |
  • Jan 8, 2026
RESPONSIBILITIES
  • · Work at the intersection of data engineering and data science to build scalable pipelines and production ML models
  • · Partner with product managers, engineers, and stakeholders to turn analytics into reliable, business-ready solutions
  • · Gain hands-on experience with semi- and unstructured data, including LLMs and NLP
  • · Build and maintain ETL/ELT data pipelines for analytics and ML use cases
  • · Develop, test, and deploy ML models with reproducible training and CI/CD practices
  • · Apply MLOps fundamentals: model packaging, deployment, and monitoring
  • · Support data modeling and feature store development to ensure data quality
  • · Deliver ML-driven data products
  • · Evaluate performance, scalability, and cloud cost efficiency
  • · Collaborate with stakeholders to define requirements and success metrics
QUALIFICATIONS
  • · 3+ years of experience in data engineering, data science, or ML
  • · Strong skills in Python and SQL
  • · Working knowledge of testing practices
  • · Experience with data transformation tools
  • · Familiarity with ML frameworks
  • · Interest in or exposure to MLOps
  • · Interest in NLP and text-based ML techniques
  • ->SALARY: 130-140k
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