Role: Sr. MLOps EngineerLocation: Remote-CanadaType of position: Contract 12 monthsRequired Skills and Experience:Proven experience in MLOps engineering, with a strong understanding of ML lifecycle managementExpertise 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 frameworksExperience 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 KubernetesExcellent problem-solving and communication skillsExperience working in the Healthcare domain.
Job Title
Direct client position- MLOps Engineer-Remote-Canada