Senior Machine Learning Platform Engineer

Location: Remote
Compensation: Salary
Staff Reviewed: Fri, Feb 02, 2024
This job expires in: 1 days

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

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