MLOps Consultant, Senior
6 days 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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Staff ML Engineer — Real-Time AI
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, , Canada BrickRed Systems Full timeA leading technology consulting firm in Canada seeks a Staff/Lead Machine Learning Engineer to build and scale production-grade AI systems. Responsibilities include owning the ML lifecycle, developing real-time services, and leading MLOps initiatives. Candidates should have a strong background in deep learning and experience with tools like NVIDIA Triton and...
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Senior MLOps Engineer
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Montreal, Quebec, HZ A, Canada Jesta I.S. Full timeAbout 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
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Montreal, Quebec, HZ A, Canada Jesta I.S. Full timeAbout 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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, BC, Canada Inworld AI Full timeGet AI‑powered advice on this job and more exclusive features. Direct message the job poster from Inworld AI. Recruiting Lead | Connecting Top AI Talent @ Inworld AI Why Join Inworld At Inworld, we believe that the benefits of AI should extend beyond business workflows to the applications and experiences that we enjoy every day. We began by pushing the...
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, , Canada Startops Full timeOverview Senior ML Operations (mlops) Engineer - Remote Eligible Build scalable ML infrastructure to deploy models to thousands of sleep monitoring devices Location Remote Job Tags Operations About The Role Sr Mlops Engineer Join our team as a Sr MLOps Engineer to help us bring current and next generations of Pod ML models to life. You'll be a part of a...
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, , Canada Indegene Full timeA pharmaceutical analytics company in Canada is seeking a Lead Data Scientist to manage and develop machine learning models that enhance patient analytics. The role demands expertise in data science and MLOps, ideally with a background in pharma analytics. Candidates must possess strong programming skills, specifically in Python, and demonstrate effective...
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, , Canada Xebia Full timeGet AI-powered advice on this job and more exclusive features. With over 20 years of experience, our global network of passionate technologists and pioneering craftsmen deliver cutting‑edge technology and game‑changing consulting to companies on the brink of transformation. Since 2001, we have grown from a Java company into a full‑service digital...
