At a Glance
- Tasks: Lead and mentor a high-performing engineering team in MLOps and AI solutions.
- Company: Join a dynamic staffing and recruiting firm with a focus on innovation.
- Benefits: Competitive salary, stock options, and solid career progression.
- Other info: Enjoy a hybrid work model and collaborate with top tech teams.
- Why this job: Shape the future of ML infrastructure while making a real impact.
- Qualifications: Experience in MLOps, team management, and building scalable CI/CD pipelines.
The predicted salary is between 123750 - 151250 $ per year.
Overview: MLOps Manager role based in Toronto with hybrid working (3 days in office). This position combines technical leadership with people management to guide the technical direction of production services, partner with technology teams across the organization, and recruit, mentor, and grow a high-performing engineering team.
Responsibilities: You will play a dual role as both a technical leader and a people manager. Responsibilities include guiding the technical direction of production services, collaborating with technology teams across the organization, and taking responsibility for recruiting, mentoring, and growing a high-performing engineering team. Working at the intersection of research and engineering, you will help shape and deliver innovative, production-grade solutions while fostering best practices in modern software delivery.
Qualifications:
- Passion for and extensive experience in MLOps: production, deployment, and adoption of ML & AI solutions in lexical models
- Extensive experience in lexical models: NLP, LLM, NER, IR, RAG
- Experience managing teams of ML Engineers & Developers
- Experience building scalable and robust CI/CD pipelines
- Ability to work directly with and manage internal and external stakeholders
Compensation: Base pay range: CA$160,000.00/yr - CA$180,000.00/yr. Total compensation: CA$180,000.00 CAD base plus 20% bonus and stock options.
Benefits and Career Growth: Stock options, solid career progression.
Job Details: Seniority level: Associate. Employment type: Full-time. Job function: Management. Industries: Staffing and Recruiting.
ML Infrastructure Manager in Toronto employer: Greybridge Search & Selection
At Greybridge Search & Selection, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Located in the vibrant city of Toronto, our hybrid working model allows for flexibility while ensuring that our team thrives through mentorship and professional growth opportunities. With competitive compensation packages, including stock options and bonuses, we are dedicated to empowering our employees to excel in their careers while contributing to cutting-edge MLOps solutions.
Contact Details:
Greybridge Search & Selection Recruitment Team
