Senior Machine Learning Platform Engineer

Job Summary

A company is looking for a Senior Machine Learning Platform Engineer.

Key Responsibilities:

• Architect, design, and build robust and efficient ML systems for a production environment
• Collaborate closely with data scientists to optimize workflows for model training, real-time inference, monitoring, and troubleshooting
• Ensure operational excellence and reliability of ML systems, defining and enforcing SLAs around system performance

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field with 5+ years of industry experience
• Familiarity with architectural frameworks of large, distributed, and high-scale ML applications
• Proficiency in programming with Python and experience in other languages like Java or Go
• Strong knowledge in deploying scalable machine learning models, including experience with Docker, Kubernetes, and microservices architecture
• Experience with database technologies (e.g., SQL, NoSQL) and big data processing frameworks (e.g., Hadoop, Spark) is a plus