305 King St W
Suite 1100
Kitchener, ON N2G 1B9
Canada
Lead MLOps Engineer Remote
Lead MLOps Engineer Description
We are looking for an experienced Lead MLOps Engineer to make our team even stronger.
The ideal candidate will combine deep knowledge of machine learning operations with a pragmatic approach to operational excellence, delivering robust, scalable, and efficient solutions for deploying and managing ML pipelines and models across our diverse project stack.
#LI-DNI
Technologies
- Python, LLM
- Predictions, Large data, Spark
- GCP Cube flow pipelines (optional)
- Vertex AI
- Databricks
Responsibilities
- Design and manage MLOps pipelines ensuring standardization, scalability, and real-time monitoring
- Implement continuous integration and continuous deployment (CI/CD) pipelines alongside incident response procedures
- Optimize model performance and manage lifecycle from development to deployment
- Lead the strategy for model scalability across Python and other predictive analytics environments
- Coordinate with data science teams to ensure that models are efficiently integrated and maintained in production systems
Requirements
- Minimum 3 years of experience in MLOps or ML engineering roles
- Expertise in Databricks and Azure cloud platforms
- Proficiency in MLOps tooling and monitoring tools
- Background in implementing CI/CD frameworks such as Jenkins, Concourse, or GitLab CI/CD
- Excellent communication skills and capacity to collaborate effectively with diverse teams
- Understanding of Python, LLM, and large data processing frameworks like Spark
- Qualifications in GCP Cube flow pipelines, Vertex AI, or familiarity with these technologies
We offer
- Opportunity to work in a fast-paced, agile, software engineering culture
- Benefit program (5 weeks of vacation, 5 paid sick days, meal vouchers, cafeteria and recreation bonuses, reimbursement of glasses, contribution to pension fund)
- Referral bonuses for recommended candidates
- English language courses
- Great learning and development opportunities, including in-house professional training, career advisory and coaching, sponsored professional certifications, well-being programs, LinkedIn Learning Solutions and much more
Certain benefits and perks may be subject to eligibility requirements and may be available only after you have passed your probationary period.
