Senior ML Ops Engineer

Job Summary

A company is looking for a Senior ML Ops Engineer.

Key Responsibilities

• Design and implement scalable ML systems, managing the entire or partial ML and MLOps lifecycle
• Optimize ML models and systems, identifying and resolving bottlenecks
• Utilize programming languages and frameworks such as Java, Python, TensorFlow, and PyTorch in recent projects

Required Qualifications, Training, and Education

• Hands-on experience with end-to-end ML system design and implementation
• Proficiency in ML model optimization techniques
• Knowledge of DevOps principles and tools, including CI/CD pipelines and Terraform
• Strong understanding of containerization technologies like Docker and Kubernetes
• Experience with programming languages such as Java and Python