No matching filters. Try another name.
Canada Goose Inc.
5+ YOECandidates need 5+ years in BI or analytics, including leading projects. They need strong SQL, ETL and data warehousing skills, advanced Power BI or Tableau, and experience with forecasting or machine learning.
SQL, Power BI, Tableau, SSIS, Azure Data Factory, Python
Canadian Imperial Bank of Commerce (Canada): C'est aussi pourquoi une carrière à la Banque CIBC est plus qu'un emploi : c'est une occasion de grandir et de travailler aux côtés de certaines des…
CIBC needs candidates with hands-on software or machine learning engineering experience, strong Python skills, and an understanding of how AI systems reach production. A degree or diploma in computer science, engineering, data science or a related field is required.
Git, Python, Microsoft Azure, Databricks
Aviva Canada Inc: Leading insurer for home, auto, lifestyle and Business / Assurance automobile, habitation, mode de vie et entreprise
2+ YOECandidates need a bachelor's degree in a related field and 2 to 4 years of machine learning engineering experience. They should know Python, SQL, AWS or Snowflake, Linux, Docker and Jenkins.
Python, Pandas, NumPy, scikit-learn, XGBoost, AWS
Georgian Partners Growth
Candidates need to be pursuing or have recently completed a Master's or PhD in computer science, engineering, statistics or a related quantitative field. They need Python skills, familiarity with machine learning toolkits such as PyTorch or TensorFlow, and the ability to communicate findings clearly.
Python, PyTorch, TensorFlow, Scikit-learn, LangChain, LlamaIndex
Confluent
2+ YOECandidates need 2 to 5 years of backend production experience, strong distributed systems and cloud networking fundamentals, and proficiency in Java, Scala, C++, Go or another statically typed language. A computer science degree or equivalent work experience is required.
AWS, Azure, GCP
OpenTable
7+ YOECandidates need 7+ years of software engineering experience, with substantial time building and operating ML systems in production. They need strong Python, a typed language such as Java, hands-on cloud model-serving experience, and MLOps and technical leadership skills.
Spark, Airflow, SageMaker, Snowflake, PyTorch, Docker
Artefact: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
3+ YOECandidates need 3 to 5 years of software or data engineering experience, hands-on work with Gemini, Vertex AI and GCP, and strong Python and TypeScript skills. A Google Cloud certification such as the Professional Machine Learning Engineer is preferred and must be obtained within two months of starting.
Gemini Enterprise, Vertex AI, BigQuery, Google Agent Development Kit, React, Terraform
Artefact: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
3+ YOECandidates need 3 to 5 years of data science experience, strong statistics and machine learning skills, and Python and SQL. They also need hands-on LLM experience and a master's degree or equivalent experience.
Python, SQL, scikit-learn, XGBoost, PyTorch, Claude Code
Artefact: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
3+ YOECandidates need 3 to 5 years of software or data engineering experience, with recent hands-on work building LLM-based features. They need strong Python and TypeScript skills, React and backend experience, RAG and agent frameworks, and expertise in one major AI platform such as Google, Anthropic, or OpenAI, plus fluent professional English.
React, LangGraph, LangChain, Vertex AI, Claude Code, Gemini CLI
Litmus: Litmus provides an Industrial Edge Data Platform used by manufacturers worldwide to turn machine data into reliable, analytics‑ready information.
5+ YOECandidates need 5+ years of product management experience in enterprise, cloud or industrial software, plus a solid technical understanding of Kubernetes, containers, APIs and cloud-native architecture. Experience with cloud marketplaces or strategic technology partnerships and Agile product delivery is required.
Kubernetes, Helm
12 companies