Vertex AI / MLOps Engineer

Orion Innovation is a premier, award-winning, global business and technology services firm.  Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity.  We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.

Job Description:We are looking for a Vertex AI / MLOps Engineer to support the migration and automation of our machine learning workflows to Google Cloud Platform. You will work closely with data scientists to implement CI/CD pipelines, operationalize ML models using Vertex AI, and help upskill the internal team in MLOps best practices.

Key Responsibilities:

• Design, implement, and manage ML workflows using Vertex AI components: Workbench, Pipelines, Model Registry, and Monitoring
• Automate the training, evaluation, and deployment of ML models
• Set up and maintain CI/CD pipelines for MLOps
• Collaborate with data science teams for integration and deployment
• Provide documentation and hands-on knowledge transfer to internal teams

Requirements:

• Hands-on experience with Vertex AI or similar platforms (SageMaker, Azure ML, etc.)
• Solid understanding of ML model lifecycle and MLOps principles
• Experience with containerization (Docker) and CI/CD tools (GitLab, GitHub Actions, etc.)
• Proficiency in Python and common ML libraries
• Ability to work cross-functionally in cloud-native environments

Nice to Have:

• Direct experience with Vertex AI in production environments
• Exposure to GCP services like BigQuery, AutoML, or AI Platform
• Familiarity with Terraform or other Infrastructure-as-Code tools

Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

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