Senior Data Engineering & ML Ops Lead (Hybrid)

goremutualinsurance

Cambridge

Hybrid

CAD 119,000 - 169,000

Full time

6 days ago
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Benefits offered by this job

Extended health and dental benefits
Disability insurance
Retirement plan matching

Job summary

Gore Mutual is seeking a data engineering and ML Ops leader to design and maintain scalable data pipelines and ML deployments. You will drive strategy, supervise a team of data engineers, and partner with data scientists to deliver data-driven solutions across insurance domains.

The role emphasizes leadership, cloud expertise, and a commitment to secure, reliable data infrastructure in a hybrid work environment.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering or related field.
  • 5+ years in data engineering, ML ops, with at least 2 years in leadership/managerial role.
  • Proficiency in Python/Java/Scala; strong knowledge of data pipelines (Databricks) and ML ops tools (MLflow, Kubeflow).
  • Extensive experience with cloud platforms (AWS, Google Cloud, Azure) and containerization/orchestration (Docker, Kubernetes).
  • Excellent leadership, communication, and problem-solving abilities.

Responsibilities

  • Design, build, and maintain data pipelines for large-scale datasets.
  • Optimize data workflows for speed and reliability.
  • Deploy, monitor, and manage robust ML models in production.
  • Lead a data engineering team and drive a data-centric culture.

Skills

Leadership
Python
Java
Scala

Education

Bachelor’s/Master’s degree in CS/DS/SE

Tools

Databricks
MLflow
Kubeflow
Docker
Kubernetes
AWS
Google Cloud
Azure

Job description

Gore Mutual is seeking a data engineering and ML Ops leader to design and maintain scalable data pipelines and ML deployments. You will drive strategy, supervise a team of data engineers, and partner with data scientists to deliver data-driven solutions across insurance domains.

The role emphasizes leadership, cloud expertise, and a commitment to secure, reliable data infrastructure in a hybrid work environment.

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