Senior ML Ops Engineer

Job Summary

Hands-on and detail-driven, the full-time Senior ML Ops Engineer will design and implement scalable ML systems, manage the entire ML lifecycle, and optimize ML models while working remotely.

Key responsibilities

• Design and implement end-to-end scalable ML systems, including deployment and monitoring
• Optimize ML models through techniques such as quantization and pruning, while identifying and resolving system bottlenecks
• Collaborate with cross-functional teams to ensure effective communication and documentation throughout the ML Ops process

Required qualifications

• Bachelor's Degree in a relevant field
• Hands-on experience with Java and Python, as well as frameworks like TensorFlow or PyTorch
• Strong understanding of DevOps principles and tools, including CI/CD pipelines and Terraform
• Proficiency in containerization technologies such as Docker and Kubernetes
• Experience with recent projects involving the ML and MLOps lifecycle within the last 12 months