Machine Learning Engineer

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