At a Glance
- Tasks: Design and deploy scalable ML solutions using GCP and Vertex AI.
- Company: Join Tiger Analytics, a leader in data-driven solutions.
- Benefits: Competitive salary, flexible work options, and growth opportunities.
- Other info: Collaborative environment with a focus on innovation and security.
- Why this job: Make an impact by operationalizing cutting-edge ML models.
- Qualifications: Hands-on experience with GCP, Vertex AI, and ML pipelines.
The predicted salary is between 63000 - 77000 $ per year.
Tiger Analytics seeks a skilled 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 operationalize models across data ingestion to serving and monitoring.
You will collaborate with data scientists and engineers to implement end-to-end ML pipelines, apply CI/CD for models, and ensure governance, security, and explainability within Vertex AI.
Senior ML Engineer — GCP & Vertex AI Architect in Ottawa employer: Tiger Analytics
Tiger Analytics is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Toronto. With a strong focus on employee growth, we offer ample opportunities for professional development and skill enhancement, particularly in cutting-edge technologies like Neo4j. Our commitment to work-life balance and a supportive environment makes us an ideal place for those seeking meaningful and rewarding careers in data governance and architecture.
