Description
Role: Sr. MLOps Engineer
Location: Remote-Canada
Type of position: Contract 12 months
Required Skills and Experience:
- Proven experience in MLOps engineering, with a strong understanding of ML lifecycle management
- Expertise in Databricks and cloud-native ML environments (e.g., Azure ML, AWS SageMaker, GCP Vertex AI)
- Proficiency in tools such as MLflow, Kubeflow, Airflow, or similar orchestration frameworks
- Experience with monitoring and observability stacks (e.g., Prometheus, Grafana, ELK, or Datadog)
- Strong programming skills in Python and familiarity with containerization technologies like Docker and Kubernetes
- Excellent problem-solving and communication skills
- Experience working in the Healthcare domain.