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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
