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
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Staff Android Software Engineer responsible for owning Cash App’s foundational Android platform, including architecture, shared libraries, infrastructure, developer tooling, observability, performance, and experimentation systems. The role drives AI-native engineering practices, leads cross-organizational technical initiatives, establishes standards, mentors engineers, and partners across mobile, web, backend, product, and design teams. Requires deep Android expertise and organizational-level impact.
Top Skills:
A/B TestingAndroidArtifactoryBuildkiteCi/CdClaude CodeCodexCustom Gradle PluginsDeep LinkingDependency InjectionFeature FlaggingGooseGradleJetpack ComposeKochikuKotlinKotlin MultiplatformMobile Application Performance ProfilingMoleculePaparazziSqldelightStructured ConcurrencyWireWorkmanager
Artificial Intelligence • Productivity • Software • Automation
Develop enterprise customers’ automation strategies, identify and deploy high-value AI-enabled use cases, quantify ROI, and drive adoption, renewal, and expansion. Build executive and stakeholder relationships, advise on governance and scalable orchestration, coordinate internal and customer teams, interpret usage data, and create repeatable methodologies and playbooks for Zapier’s enterprise customer success program.
Top Skills:
AIAutomationData ScienceRevopsSlackZapier
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Manages strategic relationships with cybersecurity services retainer customers, helping them improve preparedness and optimize service investments. Responsibilities include customer success planning, account reviews, service scoping, coordination with Sales and Delivery, documentation, account expansion, and program improvement. The role requires cybersecurity services knowledge, incident response awareness, strong project coordination, senior-level relationship management, communication, workload management, and the ability to use AI technologies to improve business outcomes.
Top Skills:
Ai TechnologiesCrowdstrikeCybersecurityIncident ResponseSecurity Frameworks
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
