Machine Learning Engineer

seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions.

Predictive Al team

Key Responsibilities

Develop and maintain ML pipelines using tools like MLflow. Kubeflow, or Vertex Al

Automate model training, testing, deployment, and monitoring in cloud environments (e.g., GCP, AWS, Azure)

Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining.

Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation, explainability)

Collaborate with engineering teams to provision containerized environments and support model scoring via low-latency APIs

Leverage AutoML tools (e.g., Vertex Al AutoML, H2O Driverless Al) for low-code/no-code model development, documentation automation, and rapid deployment

Qualifications

10+ Years of professional experience in Software Engineering...