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