Build and operate MLOps and agentic infrastructure: manage model registries, continuous training loops, and A/B testing; deploy agents as scalable Kubernetes microservices; and create observability dashboards tracking token usage, latency, and agent reasoning.
We are seeking a skilled MLOps & Agentic Platform Engineer. This role involves managing model registries, developing continuous training loops, and implementing A/B testing infrastructure. The ideal candidate will have a strong DevOps/MLOps background and be adept at deploying scalable microservices and building observability dashboards.
Responsibilities:
- Manage model registries, continuous training loops, and A/B testing infrastructure.
- Deploy agents as scalable microservices on Kubernetes.
- Build observability dashboards to track token usage, latency, and agent reasoning paths.
Qualifications:
- Strong DevOps/MLOps background (Kubernetes, Docker, Terraform).
- Experience with MLflow, Weights & Biases, or LangSmith.
- Knowledge of building scalable microservice architectures.
Similar Jobs
Artificial Intelligence • Cloud • Information Technology • Consulting
Leads complex, cross-functional client management projects from planning through implementation. Manages scope, budgets, financial forecasts, stakeholders, risks, dependencies, vendors, and teams exceeding 20 members across multiple countries. Consolidates workstream information for executive reporting, governance, escalation, and mitigation planning. Provides project management expertise, process improvements, mentoring, and guidance while ensuring delivery meets time, quality, and budget expectations.
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Manage adoption, customer health, renewal readiness, and growth across a scaled B2B SaaS portfolio. Design lifecycle campaigns, analyze customer and retention signals, coordinate renewal actions, triage inbound requests, conduct targeted customer conversations, and surface qualified expansion opportunities. Partner cross-functionally with Renewals, Sales, Product, Marketing, Support, and Customer Experience teams while delivering portfolio forecasts and executive updates.
Top Skills:
Ai-Enabled SaasB2B SaasBusiness Intelligence ToolsCrm SystemsCustomer Success PlatformsCustomer-Data SystemsMarketing Automation
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Own third-party risk management and business continuity programs while building production data pipelines, integrations, policy-as-code controls, continuous monitoring, and agentic AI workflows. The role requires defining technical direction, integrating imperfect data sources, automating evidence collection, and partnering across Security, Procurement, Resilience, and Engineering teams to improve governance and operational resilience.
Top Skills:
AWSBuildkiteCi/CdClaudeGCPGoGrpcHTTPJavaJSONKotlinKubernetesLlm ApisModel Context ProtocolProtocol BuffersPythonRest ApisSnowflakeSQLTerraform
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
