Head of Mlops Strategy and Implementation

1 month ago

Toronto, Canada Digital Dhara LLC Full time

**Responsibilities**:

- Collaborate with data organization managers to ensure appropriate resources for AI product delivery.
- Recruit and cultivate a top-performing MLOps team.
- Establish and uphold client ML development standards and best practices.
- Drive long-term 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 cloud-hosted 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.
- Hands-on 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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