Machine Learning Engineer

Job Summary

Bridging machine learning and software engineering, the remote ML Engineer will create production foundations for deploying and monitoring models, while solving infrastructure challenges and influencing technical direction.

Key responsibilities

• Engineer dependable production foundations that support machine learning workloads from development through deployment
• Develop automated workflows for data preparation, model validation, and iterative improvements
• Implement monitoring capabilities to provide visibility into the health and behavior of production ML workloads

Required qualifications

• Strong software engineering fundamentals with experience in production-grade systems
• Hands-on experience engineering ML infrastructure or machine learning applications in production
• Practical experience with model serving, deployment workflows, or ML data pipelines
• Strong knowledge of distributed computing concepts and scalable system design
• Experience with Python and modern machine learning frameworks such as PyTorch or JAX