Manager of MLOps

Job Description

<h3>Job Description</h3><p>Job Description<p><p><strong>Manager, MLOps Engineering<br />$190,000-$220,000 + bonus + RSUs</strong><br /><strong>3 days hybrid - Toronto, Ontario</strong></p><p><strong><br />About the Organization</strong></p><p>Join a global company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization&#39;s innovation hub, focused on applying AI, ML, and data science to create forward-looking tools.</p><p>The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.</p><p></p><p><strong>About the Role</strong></p><p>This is a player/coach position, focusing on model deployment-ideal for someone with a strong foundation in software engineering and a passion for making machine learning work in the real world. You&#39;ll lead a team of MLOps engineers on experiments, iterate on PoCs, and help define how ML models are deployed, scaled, and maintained in production environments.</p><p></p><p><strong>What You&#39;ll Bring</strong></p><ul><li>7+ years of software engineering experience in production environments</li><li>2+ years of team management experience working with ML systems (Python)</li><li>Experience with ModelOps / MLOps workflows</li><li>Background in:</li><ul><li>NLP: Named Entity Recognition / NER, information extraction, and information retrieval</li><li>Numpy, Pandas, and scalable data handling</li><li>Cloud environments (provider-agnostic)</li><li>CI/CD pipelines, GitFlow, and Agile development</li><li>Logging, alerting, testing, and autoscaling systems</li></ul><li>Strong collaboration and communication skills, including experience working with non-technical stakeholders</li><li>Independent problem-solver with a proactive mindset</li></ul><p></p><p><strong>Preferred Experience</strong></p><ul><li>Technical leadership on ML products</li><li>Experience delivering LLM-based solutions</li><li>Engineering management experience, including mentoring or leading cross-functional teams</li><li>Familiarity with all stages of the AI product lifecycle</li><li>Startup or fast-paced innovation environment experience</li><li>People management of teams greater than 3</li></ul><p><strong><br />HOW TO APPLY</strong></p><p>Please register your interest by sending your rsum to Tim Jonas via the Apply link on this page.</p><p><strong><br />KEYWORDS</strong></p><p>Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | MLOps | Production | Machine Learning Operations | AI | Artificial Intelligence | Containerization | PyTorch | Python | Deployment | Deploying | MLFlow | Kubernetes | Kubeflow | ModelOps | NLP | Natural Language Processing | GitFlow | NER | Information Extraction | Information Retrieval</p></p></p>