MLOps Platform Engineer: Vertex AI

A 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...

A 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...

Machine Learning Engineer (with Vertex AI Experience) 5 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Tiger Analytics is looking for a skilled and innovative Machine Learning Engineer with hands‑on experience in Google Cloud Platform (GCP) and Vertex AI to design, build, and deploy scalable ML...

Overview Tiger Analytics is looking for a skilled and innovative Machine Learning Engineer with hands-on experience in Google Cloud Platform (GCP) and Vertex AI to design, build, and deploy scalable ML solutions. You will play a key role in operationalizing machine learning models and driving the end-to-end ML lifecycle, from data ingestion to model serving...

Tiger Analytics is looking for a skilled and innovative Machine Learning Engineer with hands‑on experience in Google Cloud Platform (GCP) and Vertex AI to design, build, and deploy scalable ML solutions. You will play a key role in operationalizing machine learning models and driving the end‑to‑end ML lifecycle, from data ingestion to model serving and...

**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...

About 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 frontier of lifelike, interactive characters for games and entertainment, pioneering realtime conversational AI at scale. Today, we apply that expertise to provide the...

2 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...

A 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...

Role: Senior Machine Learning Ops EngineerLocation: Canada (Remote)Hire Type: Fulltime Job DescriptionWe are seeking a highly skilled MLOps Engineer to build, scaling, and support our Google Vertex machine learning platform to enable a multi-model serving environment. This role is central to building reusable infrastructure components (i.e., infra as code),...