ML Infrastructure Manager

Greybridge Search & Selection

Toronto

On-site

CAD 160,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Stock options
Solid career progression

Job summary

A leading recruiting firm in Toronto is searching for an experienced MLOps Manager to combine technical leadership with people management. You will guide the technical direction of production services and grow a high-performing engineering team. The successful candidate will have a strong MLOps background and experience in managing teams, with a competitive salary and attractive benefits including stock options.

Qualifications

  • Extensive experience in production, deployment, and adoption of ML & AI solutions.
  • Experience managing teams of ML Engineers & Developers.
  • Ability to work directly with and manage stakeholders.

Responsibilities

  • Guide the technical direction of production services.
  • Collaborate with technology teams across the organization.
  • Recruit, mentor, and grow a high-performing engineering team.

Skills

MLOps experience
Experience in lexical models (NLP, LLM, NER, IR, RAG)
Team management
Building CI/CD pipelines
Stakeholder management

Job description

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

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