Senior Machine Learning Engineer

IDEXX Laboratories Inc

Westbrook, Maine, US
Hybrid (2 days on-site per week)
Scalable software and infrastructure solutions
Ml model pipelines and systems
Python programming proficiency
IDEXX Laboratories Inc. is seeking a Senior Machine Learning Engineer for their Data & AI Center of Excellence in Westbrook, Maine. The role focuses on developing and implementing machine learning systems in collaboration with cross-functional teams, requiring strong programming skills and experience in scalable data processing

Job Summary

  • This role will focus on Engineering and Development activities in partnership with the Clinical and Generative AI Team.
  • You will work at the intersection of Data Science, Machine Learning, and Software Engineering — developing, deploying, and maintaining machine learning model pipelines and systems that drive our products and services.
  • We enrich the livelihoods of our employees with a positive and respectful work culture that embraces challenges and encourages learning and discovery.

Matching Summary

Match Score: 85

IDEXX Laboratories Inc. is seeking a Senior Machine Learning Engineer for their Data & AI Center of Excellence in Westbrook, Maine. The role focuses on developing and implementing machine learning systems in collaboration with cross-functional teams, requiring strong programming skills and experience in scalable data processing.

Skills & Requirements

Must-have

  • Scalable software and infrastructure solutions
  • ML model pipelines and systems
  • Python programming proficiency
  • Deploying models in production
  • ML tech stacks (Databricks, AWS, Docker)

Nice-to-have

  • AI Development Platform contribution
  • Knowledge of MLOps/ModelOps
  • Mentorship of junior team members
  • Innovative approaches to ML challenges

Key Requirements

  • Strong programming skills in Python
  • Solid experience designing and building scalable data processing and ML applications
  • Sound software engineering practices
  • Strong understanding of AI/ML concepts
  • Familiarity with ML tech stacks
  • Working knowledge of data engineering
  • Experience with DevOps practices

Work Rights

Not specified

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