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.