Head of Mlops Strategy and Implementation - Toronto, Canada - Digital Dhara LLC

Digital Dhara LLC
Digital Dhara LLC
Verified Company
Toronto, Canada

4 days ago

Sophia Lee

Posted by:

Sophia Lee

beBee Recruiter


Description

Responsibilities:


  • Collaborate with data organization managers to ensure appropriate resources for AI product delivery.
  • Recruit and cultivate a topperforming MLOps team.
  • Establish and uphold client ML development standards and best practices.
  • Drive longterm roadmap and deliverables, engaging with engineering and product leadership.
  • Facilitate clear communication of strategy and roadmap across the organization.
  • Develop processes to optimize team performance and output.
  • Create and manage assets, accelerators, and thought leadership for the practice.
  • Lead agile pod teams in designing and building cloudhosted ML products with automated pipelines.
  • Oversee AI/ML app design and automated model and pipeline adaptation.
  • Validate solutions in collaboration with solution architects, data scientists, and data engineers.

Requirements:


  • Minimum of 10 years relevant experience.
  • Strong expertise in MLOps and associated technologies (e.g., Github, GitAction, Splunk, etc.).
  • Proven track record in establishing and leading MLOps practices in complex environments.
  • Experience coaching and leading agile development teams.
  • Demonstrated ability to build and scale AI products.
  • Proficiency in data science, statistics, and software engineering.
  • Handson experience with CI/CD pipelines for AI/ML development.
  • Excellent communication skills in English, both verbal and written.

Skills and Certifications (Bold indicates required):

  • MLOps
  • Github
  • GitAction
  • Splunk
  • Cloudwatch
  • Argo
  • Spark
  • MLflow


This role presents an exciting opportunity for a seasoned leader to drive innovation and operational excellence in AI and Machine Learning within a dynamic organization.


Pay:
$150,000.00-$200,000.00 per year


Benefits:


  • Dental care
  • Paid time off
  • Vision care

Schedule:

  • 8 hour shift
  • Monday to Friday

Supplemental pay types:

  • Bonus pay

Education:


  • Bachelor's Degree (preferred)

Experience:


  • Machine learning: 5 years (preferred)
  • DevOps: 5 years (preferred)
  • Python: 5 years (preferred)
  • Scala: 5 years (preferred)
  • Leadership: 5 years (preferred)
  • People management: 5 years (preferred)

Ability to Relocate:

  • Toronto, ON M5H 1H8: Relocate before starting work (required)

Work Location:
In person

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