Senior ML Engineer

• 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.

Nice to Have

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

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

• 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.