Jobs / GORE MUTUAL INSURANCE COMPANY
Manager Data Engineering-ML Ops
GORE MUTUAL INSURANCE COMPANY · Toronto, ON, Canada
Toronto, ON, CanadaExp: 5+ yrs118,500-168,500 CAD/yearlyHybrid
Remuneration
Discretionary bonus; extended health and dental benefits; disability insurance; retirement plan matching; paid time off; recognition and perk programs
Location
Toronto, ON, Canada
Visa sponsorship
Not specified
Job summary
Leads data engineering and machine learning operations, building and maintaining data pipelines and infrastructure to deploy, monitor, and optimize production machine learning models. Sets the team’s strategy and roadmap, leads data engineers, and partners with data scientists to deliver scalable, reliable, secure systems that meet regulatory requirements. The work uses technologies including Python, Databricks, MLflow, Kubeflow, cloud platforms, Docker, and Kubernetes.
Benefits
Extended health and dental benefitsDisability insuranceRetirement plan matchingPaid time offRecognition and perk programs
Qualifications
- At least 5 years of experience in data engineering, machine learning operations, or a related field.
- At least 2 years of leadership or managerial experience.
- Advanced proficiency in Python, Java, or Scala.
- Knowledge of data pipeline frameworks such as Databricks and machine learning operations tools such as MLflow or Kubeflow.
- Hands-on experience with AWS, Google Cloud, or Azure.
- Experience with containerization and orchestration tools such as Docker and Kubernetes.
- Expertise in data architecture, data modeling, and database systems.
- Strong analytical, problem-solving, leadership, communication, and team management skills.
- Ability to adapt to a fast-paced environment, prioritize tasks, and manage multiple projects.
Responsibilities
- Design, build, and maintain data pipelines for ingesting, transforming, and storing large-scale datasets.
- Optimize data workflows for efficient processing and availability.
- Develop practices for deploying, monitoring, and managing production data pipelines and machine learning models.
- Collaborate with data scientists to integrate and deploy machine learning solutions.
- Define the vision, strategy, and roadmap for data engineering and machine learning operations.
- Lead, coach, and motivate the data engineering team; foster innovation and best practices.
- Allocate resources, manage workloads, and set goals for timely, budget-compliant delivery.
- Ensure data engineering and machine learning operations comply with industry standards, regulations, and security practices.
- Protect sensitive data and address potential vulnerabilities.
- Monitor technology and methodology advances and drive continuous improvement.
Skills
AWSAzureDatabricksDockerGCPJavaKubernetesPythonScala
Degrees
Bachelor's or master's degree in computer science, data engineering, software en
Languages
PythonJavaScala
Industry
Insurance
Relocation
No