Manager Data Engineering-ML Ops

The role

This person will develop and maintain infrastructure for deploying, monitoring, and optimizing machine learning models. They will design data pipelines, oversee a team of data engineers, and define the strategy for data engineering and ML Ops.

What you will do

• Design, build, and maintain infrastructure for ingestion, transformation, and storage of large-scale datasets.
• Optimize data workflows for efficient processing and availability.
• Develop and implement best practices for deploying, monitoring, and managing data pipelines and ML models.
• Collaborate with data scientists to integrate and deploy ML solutions.
• Define the vision, strategy, and roadmap for data engineering and ML Ops.
• Ensure scalability, reliability, and efficiency of ML models and data pipelines.
• Lead and motivate an engineering team through coaching.
• Allocate resources, manage workloads, and set goals for project completion.
• Ensure processes adhere to industry standards, regulatory requirements, and security best practices.
• Implement measures to safeguard sensitive data.

Required qualifications

• Bachelor’s or master’s degree in computer science, Data Engineering, Software Engineering or a related field.
• 5+ years experience in data engineering, machine learning operations, or related fields.
• Minimum of 2 years in a leadership or managerial role.
• Advanced proficiency in Python, Java, or Scala.
• Comprehensive knowledge of data pipeline frameworks (e.g., Databricks) and ML Ops tools (e.g., MLflow, Kubeflow).
• Extensive hands-on experience with cloud platforms (e.g., AWS, Google Cloud, Azure).
• Extensive hands-on experience with containerization/orchestration tools (e.g., Docker, Kubernetes).
• Expertise in data architecture, data modeling, and database systems.
• Strong leadership and team management capabilities.
• Excellent communication and interpersonal proficiency.
• Ability to excel in a fast-paced and dynamic environment.
• High attention to detail and ability to manage multiple projects concurrently.

Benefits

• Extended health and dental benefits
• Disability insurance
• Retirement plan matching
• Paid time off
• Recognition and perk programs

About the company

Gore Mutual is a modern mutual that is joining Beneva as part of its Property & Casualty operations in Ontario and Western Canada. The company focuses on long-term benefits to customers, members, and communities.