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LawZero
3+ YOECandidates need a relevant computer science degree and 3+ years designing distributed ML training frameworks, including recent use of Megatron, DeepSpeed, FSDP or vLLM. Experience with cloud platforms, Ray or SLURM, GPU profiling, Docker or Kubernetes, and deep learning research is also expected.
Megatron, DeepSpeed, HuggingFace Accelerate, FSDP, vLLM, verl
LanceDB
10+ YOECandidates need 10+ years in customer- or partner-facing technical roles, ideally with data platforms or distributed systems. Strong Python skills, familiarity with Rust, deep knowledge of distributed systems and Kubernetes, and excellent communication skills to present to technical and executive audiences are required.
Python, Rust, Kubernetes, Terraform, Docker, Kafka
Cohere: Cohere is the leading security-first enterprise AI company.
6+ YOECandidates need 6+ years as a customer-facing technical or engineering program manager, with government or regulated-sector experience. Strong knowledge of enterprise deployment architectures, modern AI concepts, and Canadian government requirements is needed.
Azure, AWS GovCloud
Nexxa.AI
6+ YOECandidates need 6+ years in DevOps, SRE or platform engineering, with hands-on production experience in cloud platforms, Kubernetes, infrastructure-as-code and CI/CD. Strong observability, scripting, incident leadership and project-leading skills are also required.
Kubernetes, Terraform, Pulumi, GitHub Actions, GitLab CI, CircleCI
Nexxa.AI
4+ YOECandidates need 4 to 8+ years of backend or ML platform engineering experience, strong TypeScript/Node.js skills, and experience serving LLM or ML models in production. A bachelor's degree in computer science or a related field is required.
Docker, Kubernetes, Kafka, PyTorch, TensorFlow, OpenCV
Nexxa.AI
5+ YOENexxa.AI needs 5 to 10+ years of engineering experience, strong programming skills, and hands-on ML and generative AI work. Candidates also need cloud and container experience and strong communication skills for customer-facing work.
PyTorch, TensorFlow, OpenCV, Docker, Kubernetes, AWS
Jobber: The company continually ranks as one of Canada's fastest-growing and most innovative companies by Canadian Business and Macleans, The Globe and…
Jobber needs a candidate with production ML experience that acted on real users, a strong statistics foundation, expert SQL and production Python, and depth in modern ML methods including transformers and LLMs in production. Graph experience such as Neo4j, Snowflake, Airflow and AWS are strongly valued.
Neo4j, Snowflake, Apache Airflow, AWS, Python, SQL
Welcome to the Jungle: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
3+ YOEArtefact needs 3 to 5 years of data science experience, strong statistics and machine learning skills, and at least one model deployed to production. Candidates should know Python and SQL, have hands-on LLM experience, and be specialized in a major AI platform and a cloud platform.
Python, SQL, scikit-learn, XGBoost, PyTorch, Vertex AI
6 companies