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Senior MLOps Engineer

World's leading provider of cloud-based legal software, helping lawyers manage and grow their firms more effectively.
$152,600 - $206,400
Machine Learning
Senior Software Engineer
Hybrid
1,000 - 5,000 Employees
5+ years of experience
AI · Enterprise SaaS · Legal Tech

Description For Senior MLOps Engineer

Clio, a leading cloud-based legal software provider valued at $1.6B, is seeking a Senior MLOps Engineer to join their Engineering team. This role combines deep AI/ML expertise with strong software engineering skills to build and operate scalable infrastructure for GenAI solutions. The position offers a hybrid work environment with a minimum of two days in office for those local to Burnaby, Calgary, or Toronto hubs.

The role involves building LLM-based solutions to improve operational efficiency, collaborating with cross-functional teams, and managing the entire ML lifecycle from experimentation to production. The ideal candidate will have strong Python or Ruby development skills, cloud infrastructure expertise, and experience with CI/CD pipelines for ML systems.

Clio offers a competitive compensation package ranging from $152,600 to $206,400 CAD, along with comprehensive benefits including health insurance, flexible time off, and RRSP matching. The company is committed to diversity, equity, and inclusion, fostering an environment where teams can work authentically and effectively.

As part of a unicorn company transforming the legal technology landscape, this role presents an opportunity to work on cutting-edge AI solutions while contributing to Clio's mission of increasing access to justice and improving the lives of legal professionals. The position combines technical leadership with hands-on development, requiring both strong engineering capabilities and the ability to mentor team members.

Last updated 6 days ago

Responsibilities For Senior MLOps Engineer

  • Build and deploy LLM-based solutions
  • Collaborate cross-functionally with engineering, product management, and data science teams
  • Work with MLOps, MLE, and full stack developers across multiple teams
  • Evaluate and integrate new ML tools and frameworks
  • Troubleshoot production issues like data drift and model latency
  • Participate in design reviews and architectural decisions
  • Engage in code reviews
  • Mentor and collaborate with teammates

Requirements For Senior MLOps Engineer

Python
Ruby
Kubernetes
  • Strong Python or Ruby development skills with production-grade experience
  • Expertise in cloud infrastructure (AWS, GCP, or Azure) including Kubernetes
  • Experience with CI/CD and automating model training
  • Solid understanding of machine learning and GenAI concepts
  • Demonstrated leadership skills
  • Ability to own design and delivery of scalable solutions
  • Strong problem-solving and communication skills
  • Team-first mentality

Benefits For Senior MLOps Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
401k
  • Competitive salary with top-tier health benefits
  • Hybrid work environment with 2 days minimum office requirement
  • Flexible time off policy with 20 days encouraged
  • $2000 annual counseling benefit
  • RRSP matching and RESP contribution
  • Clioversary recognition program

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