MLOps Engineer with Python Core and ML - Only W2

Hands-on experience developing, fine-tuning, and deploying ML and foundation models in production.

Strong Python skills and expertise with PyTorch and/or TensorFlow.

Experience building and operating MLOps pipelines, including CI/CD, model lifecycle management, and monitoring.

Experience deploying ML workloads on Azure and Kubernetes (AKS).

Strong software engineering practices, including testing, code quality, and automation.

Ability to work effectively with ML researchers, data scientists, and cross-functional engineering teams.

Experience managing multi-GPU-based workloads and optimizing model performance.

Experience with distributed training frameworks and large-scale model training.

Familiarity with ML platform engineering, including training infrastructure and workload orchestration.

Exposure to platform operations, reliability, governance, and compliance requirements.

Experience mentoring engineers or leading technical initiatives.