MLOps Consultant, Senior
2 weeks ago
**Senior MLOps Consultant (Agentic AI Engineering Delivery) Overview Our client, a leading organization in the banking sector, is seeking a Senior MLOps Consultant with proven, hands‑on experience building and deploying production‑grade Agentic AI systems. This role is deeply technical, requiring strong software engineering and platform delivery expertise rather than QA or oversight. The ideal candidate has built and shipped complex ML/AI systems leveraging MLOps best practices and modern GenAI frameworks. This consultant will be instrumental in designing, automating, and scaling ML and GenAI workloads within secure, enterprise‑grade environments‑combining MLOps engineering, Agentic AI development, and platform reliability into one cohesive delivery function. Key Responsibilities Design, implement, and optimize end-to-end MLOps pipelines for model training, testing, deployment, and monitoring. Build, ship, and operationalize Agentic AI systems and large‑scale ML workflows with a focus on automation, scalability, and reliability. Develop and maintain robust platform engineering solutions to support high‑performance ML/GenAI workloads. Collaborate with cross‑functional teams (Data Science, Engineering, Cloud Architecture) to deliver secure and high‑quality systems. Manage containerized AI workloads using Docker and Kubernetes for efficient orchestration and scaling. Integrate ML pipelines into cloud and enterprise data ecosystems (AWS, Azure, or Google Cloud Platform). Continuously improve system observability, model performance, and deployment automation. Contribute to engineering best practices , reusable frameworks, and documentation to enable delivery excellence. Required Skills & Experience 7 years of hands‑on engineering experience across MLOps, DevOps, or Data Engineering with a strong focus on delivery and system build (not QA or management). Proven track record building and shipping Agentic AI or ML systems in production environments. Expert‑level Python programming skills for production‑grade system development. Deep knowledge of ML lifecycle management , including model versioning, monitoring, and governance. Strong expertise in Docker, Kubernetes , and related CI/CD tooling (GitLab CI, Jenkins, ArgoCD, etc.). Experience implementing or extending GenAI frameworks (LangChain, Hugging Face, OpenAI APIs, etc.) for enterprise use cases. Solid understanding of cloud‑native ML platforms such as AWS SageMaker, Google Cloud Platform Vertex AI, or Azure ML. Strong communication, analytical, and problem‑solving abilities, with experience in financial services or secure enterprise environments preferred. #J-18808-Ljbffr
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, , Canada Myticas LLC Full timeA leading organization in the banking sector is seeking a Senior MLOps Consultant with extensive experience in building and deploying production-grade Agentic AI systems. The ideal candidate will design and optimize MLOps pipelines, develop platform engineering solutions, and collaborate with cross-functional teams. Strong expertise in Python, Docker, and...
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Senior MLOps Engineer: GenAI, Docker
4 weeks ago
, , Canada Myticas Consulting Full timeA leading organization in the banking sector is seeking an experienced Senior MLOps Consultant with deep technical expertise in Machine Learning Operations and Generative AI. This role involves designing, deploying, and optimizing scalable ML solutions while collaborating with cross-functional teams. The ideal candidate has over 7 years of experience in...
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Senior MLOps Engineer — Vertex AI Platform
1 week ago
, , Canada Quantum World Technologies Inc. Full timeA technology firm in Canada is seeking a highly skilled Senior MLOps Engineer to develop and support a Google Vertex machine learning platform. This role involves designing reusable infrastructure components and ensuring efficient model deployment. The ideal candidate has a Bachelor’s or Master’s in a relevant field and at least 4 years of MLOps...
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Senior Software Developer
4 weeks ago
, , Canada Safely You Full time*CANDIDATES MUST BE LOCATED IN THE UNITED STATES ORCANADA** About SafelyYou SafelyYou’s passionate mission is to empower safer, more person-centered care across senior living through world-leading AI, industry-changing hardware, and remote expert clinicians, significantly improving outcomes for residents while increasing peace of mind for families and...
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Senior MLOps Lead/Architect — Cloud AI Platform
2 weeks ago
, , Canada Iris Software Inc. Full timeA leading technology services provider is seeking a Senior MLOps Lead/Architect to drive the design and implementation of an ML Ops platform. This role involves overseeing a geographically distributed team and collaborating with cross-functional stakeholders. The ideal candidate has strong experience with AWS services and technical product management. This...
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, , Canada DataRobot Full timeA leading AI platform company is looking for a Senior Backend Engineer, MLOps to develop and support features in their AutoML & GenAI platform. Ideal candidates have 3-10+ years of cloud-native experience, strong Python skills, and expertise with AWS, Azure, or Google Cloud. This role involves designing infrastructure, collaborating closely with product...
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Senior MLOps Engineer
16 hours ago
Montreal, Quebec, HZ A, Canada Jesta I.S. Full time $90,000 - $120,000 per yearAbout the RoleJesta I.S. builds enterprise retail technology used by apparel and footwear brands with complex, multi-site operations. Our data environment spans ERP and cloud platforms, and our engineering culture is hands-on, pragmatic, and fast-moving. You'll work in a production environment that integrates Oracle, Snowflake, and AWS, supported by strong...
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Senior MLOps Engineer
3 weeks ago
, , Canada Avanciers Inc. Full timeA technology solutions company is seeking a Senior Machine Learning Ops Engineer to design and manage a scalable Google Vertex AI-based platform. Responsibilities include developing CI/CD pipelines, collaborating on model integration, and leading governance policies. The ideal candidate has a degree in Computer Science with 4+ years in MLOps, strong skills...
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Senior ML Engineer, AI-Driven Security
2 days ago
, , Canada Censys Full timeA technology company is seeking a Senior Machine Learning Engineer to develop and maintain an MLOps platform for analyzing internet security data. The role requires building scalable machine learning systems, utilizing cloud platforms and various optimization techniques. Candidates should have a Bachelor's degree in a technical field, over three years of...
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Staff MLOps Engineer
2 days ago
, BC, Canada Inworld AI Full time2 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Inworld AI At Inworld, we believe the processes of building, scaling, and evolving applications are monsters that consume value before it can reach users. Our mission is to solve evolution and transform static software...
