Staff MLOps Engineer

Job Summary

To enhance AI/ML platform capabilities, the full-time Staff MLOps Engineer will focus on developing, deploying, and maintaining machine learning models in a remote environment.

Key responsibilities

• Designing and implementing MLOps pipelines for model training and deployment
• Collaborating with data scientists and engineers to optimize machine learning workflows
• Monitoring and maintaining the performance of machine learning models in production

Required qualifications

• Proven experience in MLOps or a related field
• Strong knowledge of machine learning frameworks and tools
• Experience with cloud platforms such as AWS, Azure, or Google Cloud
• Proficiency in programming languages such as Python or Java
• Familiarity with containerization technologies like Docker or Kubernetes