Machine Learning Engineer
Job Summary
Independently owning defined production components within enterprise AI products, the full-time remote Machine Learning Engineer will design, implement, and support AI solutions while connecting technical measures to user outcomes.
Key responsibilities
- Define component boundaries, acceptance criteria, and support expectations in collaboration with product and architecture partners
- Design and implement maintainable components using Python, SQL, and various AI methodologies, ensuring thorough documentation and testing
- Release and support components through cloud services and CI/CD practices, leading the diagnosis of complex failures
Required qualifications
- Master's degree in Computer Science, IT, or a related field; or Bachelor's degree with 2 years of relevant experience; or Associate's degree with 6 years of experience; or High school diploma/GED with 8 years of experience
- Demonstrated ownership of at least one production software, data, ML, GenAI, or automation component
- Strong hands-on proficiency in Python and SQL, with sound software-engineering and testing practices
- Experience with advanced machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn
- Familiarity with cloud services and MLOps tools like AWS, Databricks, or Kubernetes
Complete Job Description
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