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Staff ML Platform Engineer (MLOps)
Summary by AIEngineer.careers
Staff ML Platform Engineer (MLOps) is a MLOps Engineer role (full-time). with FutureFit AI. in TORONTO, CA. Imported listing (source: jobsca.org). Apply on the employer's site (jobsca.org).
Imported listing (source: jobsca.org) · Apply on jobsca.org
TORONTO · CA
—
Full-time
STAFF
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobsca.org
FutureFit AI is hiring a Staff ML Platform Engineer (MLOps) in Toronto to build and maintain ML and LLM-powered platforms. The role owns compute environments, model deployment, and operational optimization across the end-to-end ML lifecycle. This is a senior individual contributor position focused on platform reliability and scalability.
Responsibilities
- Build and maintain ML and LLM-powered platforms
- Manage compute environments and infrastructure
- Deploy machine learning models to production
- Optimize ML operations and lifecycle processes
Requirements
- Experience with ML platform engineering and MLOps practices
- Proficiency in deploying and managing ML/LLM models
- Knowledge of compute environment management
- Strong software engineering and infrastructure skills
Nice to Have
- Experience with large language model operations
- Familiarity with cloud compute optimization
Tech Stack
Compute Infrastructure
FA
FutureFit AI
New York · US · 36+ employees
FutureFit AI is an AI-powered workforce-development and career-navigation software company. Its platform uses talent profiles, live labor-market data and algorithms to identify skills, recommend career paths, and create personalized learning, reskilling and job-placement roadmaps for workers and organizations.
