Machine Learning Engineer

AMETEK Inc

Herndon, VA, US
Hybrid
Productionizing ml models end-to-end
Proficiency in python and ml frameworks
Experience with cloud ml platforms
AMETEK Inc is seeking an early-career Machine Learning Engineer for their Herndon, VA location, focusing on building and deploying production-grade ML systems. The role requires hands-on experience in machine learning, strong engineering skills, and collaboration with cross-functional teams to create scalable solutions

Job Summary

  • This role offers hands-on exposure to applied ML, working with IoT datasets, user needs, and product requirements to build scalable solutions that deliver measurable customer ROI.
  • Collaborate with cross-functional partners including product, data engineering, DevOps & QA to deliver end-to-end ML solutions.
  • Continuously evaluate and improve models by monitoring performance, identifying and addressing bias, detecting data or concept drift, and iterating on features, algorithms, or training processes to maintain reliability over time.

Matching Summary

Match Score: 85

AMETEK Inc is seeking an early-career Machine Learning Engineer for their Herndon, VA location, focusing on building and deploying production-grade ML systems. The role requires hands-on experience in machine learning, strong engineering skills, and collaboration with cross-functional teams to create scalable solutions.

Skills & Requirements

Must-have

  • Productionizing ML models end-to-end
  • Proficiency in Python and ML frameworks
  • Experience with cloud ML platforms
  • MLOps tooling including Docker and Kubernetes
  • Feature engineering and data preprocessing
  • Collaborating with cross-functional teams

Nice-to-have

  • Familiarity with Agentic AI concepts
  • Experience with large-scale data pipelines
  • Knowledge of ML observability tools
  • Edge ML patterns experience
  • Master’s degree equivalent to experience

Key Requirements

  • 3+ years professional ML engineering experience
  • Bachelor’s degree in relevant quantitative field
  • Experience shipping ML models into production
  • Hands-on cloud platform experience
  • Familiarity with GenAI system components
  • No relocation assistance provided

Work Rights

Not specified

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