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Ops Engineering Internship Jobs

Dev Ops Engineer Jobs
By Hotspex Media At Toronto, Ontario, Canada
One of the following certifications is required (or equivalent experience):
Create endpoints that meet and exceed industry requirements
5+ years of professional experience
Strong familiarity and production-level experience with Amazon Web Services
Strong familiarity and production-level experience with Google Cloud Platform
Our stack includes: Cloud Compute, BigQuery, PostgreSQL, Cloud Run, Container Registry, Secret Manager, VPC, and MemoryStore (Redis)
Field Test Engineering Internship (Fall 2023)
By Tesla At Field, British Columbia, Canada
Communicate with remote teams to schedule trips, receive and prepare test samples, conduct tests jointly, perform post-test inspection and disposal
Experience working in the field
Bonus: experience with programming (Python ideally), electrical communications (CAN), or battery cycling equipment
Family-building, fertility, adoption and surrogacy benefits
401(k), Employee Stock Purchase Plans, and other financial benefits
Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
Design Ops Developer Jobs
By National Bank of Canada At Montreal, Quebec, Canada
Minimum of 5-7 years of experience as a developer in a role with similar responsibilities
Manage technological tools that host the design system
Design prototypes to test the desired experience with users or for the purposes of high-fidelity models for development.
You have experience designing responsive and multi-platform products (Web, Android, iOS) in iterative mode
Are you client-centric and passionate about digital product design and development?
Are you interested in promoting and advancing product design practices at National Bank?
Ml Ops Engineering Lead (Digital Data, Large Molecule Research)
By Sanofi At Toronto, Ontario, Canada
Support life cycle management of deployed ML apps (e.g., new releases, change management, monitoring and troubleshooting).
Experience on working within compliance (e.g.: quality, regulatory - data privacy, GxP, SOX) and cybersecurity requirements is a plus.
Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.
World Class Mentorship and Training: Working with renowned, published leaders and academics in machine learning to further develop your skillsets.
5+ years of experience as a MLOps or ML Engineer, preferably building and maintaining machine learning models.
2+ years of experience deploying and monitoring ML applications at scale across a range of models and platforms.