Research Machine Learning Scientist at TD developing and applying advanced deep learning techniques. Collaborating with engineering team and working with large - scale datasets in a fast - paced environment.
About the role
- Senior MLOps Engineer at Deep Genomics, maintaining ML infrastructure for drug discovery. Enjoy collaborating with scientists to ensure reliable and scalable ML systems in an innovative environment.
Responsibilities
- Maintain and improve cloud infrastructure (GCP) using Infrastructure-as-Code tools (Terraform).
- Manage IAM, RBAC, and permission policies across cloud environments.
- Own and evolve CI/CD pipelines (CircleCI, GitHub Actions) and ensure best practices are followed across the engineering and ML teams.
- Administer and support workflow orchestration platforms (e.g., Seqera/Nextflow, Argo, Kubeflow).
- Operate and configure ML experiment tracking and registry tooling (e.g., W&B, MLflow).
- Build and maintain containerized environments (Docker) and manage Kubernetes clusters.
- Manage GPU resources – provisioning, scheduling, and debugging hardware and driver issues.
- Write and maintain Python tooling, scripts, and integrations that support ML infrastructure.
- Help deploy ML models to production environments and monitor their performance.
Requirements
- 4+ years of experience operating production infrastructure.
- Proficiency with cloud platforms (GCP preferred; AWS/Azure acceptable) and Infrastructure-as-Code (Terraform).
- Extensive Hands-on experience with Kubernetes and containerization (Docker).
- Solid background in CI/CD systems (CircleCI, GitHub Actions, or similar).
- Experience managing GPU compute (provisioning, debugging, driver management).
- Familiarity with Python package and environment management (e.g., pip, conda, pixi).
- Strong Python programming skills.
- Self-motivated problem solver with excellent communication skills.
Benefits
- Highly competitive compensation, including meaningful stock ownership.
- Comprehensive benefits - including health, vision, and dental coverage for employees and families, employee and family assistance program.
- Flexible work environment - including flexible hours, extended long weekends, holiday shutdown, unlimited personal days.
- Maternity and parental leave top-up coverage, as well as new parent paid time off.
- Focus on learning and growth for all employees - learning and development budget & lunch and learns.
- Facilities located in the heart of Toronto - the epicenter of machine learning and AI research and development, and in Kendall Square, Cambridge, Mass. - a global center of biotechnology and life sciences.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Principal Machine Learning Engineer evaluating ML models at Autodesk for CAD/BIM workflows. Collaborating with teams to ensure quality, reliability and customer impact in ML - powered products.
Senior Machine Learning Engineer developing and deploying machine learning models for autonomous trucks. Collaborating with various teams to enhance safe and efficient decision - making in freight environments.
Machine Learning Evaluation Specialist designing tasks for unsolved ML problems using deep domain expertise. Opportunity for graduates to contribute to challenging AI research tasks on a fully remote basis.
Machine Learning Specialist developing and deploying innovative ML/DL solutions to monitor space environment at NorthStar Earth & Space. Collaborating with a multidisciplinary team to address space traffic management challenges.
LP
Material handler or machine operator
LinkedIn Recruiter Post
Direct hire permanent role for Material Handler or Machine Operator in Brantford, ON. Pay rate $25 - $30/hour with night premium and overtime on 12 - hour continental shifts.
Machine Learning Engineer developing AI Agents utilizing LLMs for contact centers. Collaborating with engineering teams to integrate cutting - edge AI solutions in production environments.
Senior Machine Learning Engineer developing next - gen AI systems at Cresta. Leading high - impact AI initiatives and collaborating with cross - functional teams in a remote setting.
Senior Machine Learning Engineer focused on model optimization algorithms at Red Hat. Contributing to deep learning software and collaborating with product and research teams in open - source context.
Machine Learning Engineer designing and deploying ML pipelines at a fintech platform in Canada. Collaborating with engineers to optimize models and performance while implementing MLOps best practices.