Senior MLOps Engineer

1 month ago

Old Toronto, Ontario, Canada Jobber Full time
Unlock Operational Excellence with Our Senior MLOps Engineer

At Jobber, we're revolutionizing the way small businesses deliver services through technology. As a Senior MLOps Engineer, you'll play a pivotal role in building an ML platform that unlocks improved operational outcomes, workflow efficiencies, and new business insights across our organization.

About the Role

We're seeking a seasoned professional with a background in software or data engineering to lead our MLOps team. As a Senior MLOps Engineer, you'll collaborate with Data Scientists and ML engineers to define the scope, requirements, and success criteria for ML projects, ensuring alignment with business objectives.

Key Responsibilities
  • Design and implement robust data pipelines to process raw structured and unstructured data, proactively building features for feature stores to support diverse ML use cases.
  • Oversee the complete MLOps lifecycle, including requirements gathering, data cleaning and organization, model development, production deployment, monitoring, and maintenance.
  • Conduct thorough feasibility analyses through proofs-of-concept (POCs) and provide data-driven recommendations on preferred approaches, tools, and products within the open-source MLOps ecosystem.
  • Implement and optimize end-to-end MLOps pipelines for model training, evaluation, and deployment, ensuring scalability and efficiency.
Requirements
  • Strong proficiency in Python programming
  • Extensive experience with Apache Spark for large-scale data processing
  • Expertise in containerization, particularly Docker and CI/CD technologies
  • Comprehensive knowledge of AWS services, including: ECS Fargate for container orchestration, EMR (Elastic MapReduce) for big data processing and AWS Glue for ETL workflows
  • Proven track record of building and maintaining complex ETL pipelines
  • Experience with workflow management tools, specifically Apache Airflow
  • Proficiency in using dbt (data build tool) for data transformation and modelling
  • Strong understanding of DevOps principles and CI/CD practices
What We Offer

At Jobber, we're committed to creating a culture of transparency, inclusivity, collaboration, and innovation. As a Senior MLOps Engineer, you'll have the opportunity to work with a talented team of professionals who are passionate about using technology to drive business success.

We offer a competitive salary, comprehensive benefits package, and opportunities for professional growth and development. If you're a motivated and experienced professional looking for a new challenge, we encourage you to apply.

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