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Hydro-Québec: L'entreprise comprend quatre divisions :
3+ ansBaccalauréat en informatique; 3 à moins de 6 ans d'expérience; Bonne connaissance de la validation et surveillance de modèles prédictifs
Python, MLflow, Evidently, Azure Machine Learning, SHAP
Urban Ridge Supplies
10+ ansCandidates need 10+ years building distributed data or ML platforms, strong customer-facing communication, and advanced Python and SQL. Experience with cloud data services, MLOps tools, LLMs and infrastructure as code is also required.
Spark, Databricks, Snowflake, Redshift, dbt, Airflow
Urban Ridge Supplies
7+ ansCandidates need 7 years of relevant experience and strong Python skills with machine learning libraries. They also need experience with LLMs or deep learning, cloud platforms, and MLOps tools.
Python, PyTorch, TensorFlow, Scikit-learn, Spark, Pandas
Urban Ridge Supplies
10+ ansCandidates need 10+ years of data or ML engineering experience, strong customer-facing communication, and hands-on skills with Spark, Databricks, Airflow, LLMs, vector stores, Python and SQL. Cloud, containerization and Infrastructure as Code experience and willingness to travel to customer sites are also expected.
Apache Spark, Databricks, AWS Glue, Snowflake, Redshift, dbt
Urban Ridge Supplies
3+ ansCandidates need 3-5 years of experience, strong Python skills and experience with LLMs, NLP or deep learning. They also need MLOps, cloud deployment and collaboration skills.
Python, PyTorch, TensorFlow, Docker, Kubernetes, MLflow
Urban Ridge Supplies
3+ ansCandidates need a bachelor's degree or college program completion, 3 years on Databricks and big data projects, and 1 year shipping agentic AI to production. They also need 5 years in Python or Java and 2 years of production CI/CD and MLOps experience. English is required.
Databricks, Mosaic AI, Vector Search, Model Serving, MLflow, Unity Catalog
Urban Ridge Supplies
11+ ansCandidates need 11 or more years in IT, software engineering or data science, with AI and ML experience and strong Python skills. Cloud AI services, vector databases and clear communication with non-technical leaders are also required.
Python, PyTorch, TensorFlow, LangChain, LlamaIndex, Semantic Kernel
Urban Ridge Supplies
3+ ansCandidates need 3+ years of software engineering experience, including AI applications in production. They need strong Python, TypeScript, SQL and Git skills, plus experience with LLMs, RAG, AI agents and cloud platforms.
Docker, Kubernetes, Git, PostgreSQL, Elasticsearch, Azure AI Search
Urban Ridge Supplies
3+ ansCandidates need 3+ years of production ML or data-heavy system experience, including shipping and owning models after launch. Real ranking or relevance experience, strong Python, and rigorous A/B testing skills are required.
Python, MLflow, Kubernetes, Spark
Urban Ridge Supplies
8+ ansCandidates need at least 8 years of software or AI delivery experience, recent hands-on work with production GenAI or agentic systems, and strong Python, React and TypeScript skills. Azure cloud experience, DevOps practice and a bachelor's degree or equivalent experience are also expected.
Azure OpenAI, Azure AI Search, Microsoft Foundry, Databricks, MLflow, Unity Catalog
Urban Ridge Supplies
3+ ansCandidates need 3+ years of software engineering experience, including 2+ years building production AI/ML or generative AI solutions. They need hands-on experience with LLMs, RAG, classical ML and deep learning, MLOps, and Azure cloud, plus strong SQL and clear communication with non-technical stakeholders.
Azure AI Foundry, Azure OpenAI, Copilot Studio, MLflow, Kubeflow, Databricks
Urban Ridge Supplies
10+ ansCandidates need 10+ years in AI/ML engineering, at least 2 years in financial services or a regulated industry, and a track record of production AI deployments. Strong Python, LLM and agent framework skills, plus AWS and Azure experience, are required.
Python, TensorFlow, PyTorch, scikit-learn, Copilot Studio, LangChain
PLATO: PLATO is a software testing and technology services company trusted by clients worldwide.
5+ ansCandidates need at least 5 years of experience delivering AI, machine learning or advanced analytics solutions, with strong Azure AI, Azure OpenAI and Microsoft Fabric skills. Python, RAG and vector search, CI/CD and Responsible AI experience are also required.
Azure OpenAI Service, Azure Machine Learning, Microsoft Fabric, Azure DevOps, GitHub, MLflow
Flinks
6+ ans6 to 8 years shipping machine-learning models to production; Production-grade Python; Bachelor's in a quantitative field; master's or PhD an asset
Python, SQL, BigQuery, PyTorch, HuggingFace, MLflow
Flinks
5+ ans5 ans et plus d'expérience en ingénierie des données en environnement infonuagique; SQL expert et Python solide; Expérience avec BigQuery, dbt, Airflow ou équivalent
BigQuery, dbt, Airflow, Cloud Composer, Pub/Sub, Kubeflow
Staffmax
Candidates need strong hands-on Python and SQL skills, experience deploying ML models in cloud platforms, and working knowledge of Azure ML, Databricks, MLflow and CI/CD. Independent work and collaboration with data scientists and engineers are expected.
Azure ML, Databricks, MLflow, Python, SQL
Precision AI
4+ ansCandidates need 4+ years running production data platforms, strong Python, deep AWS experience with S3 and Athena, and workflow orchestration experience. They also need advanced SQL, open table format knowledge (Iceberg, Delta or Hudi) and solid machine learning and computer vision fundamentals.
AWS S3, Parquet, Delta Lake, Airflow, Dagster, Prefect
Dell
5+ ansCandidates need 5+ years in a customer-facing technical role, plus proven delivery of data, analytics or AI solutions. Hands-on experience with a major cloud platform and a leading data platform is required, along with strong communication skills for senior audiences.
Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse
Tiger Analytics Inc.
5+ ansCandidates need a bachelor's degree or higher in computer science or a related field and 5+ years of work experience. They must know Python, Spark, Hadoop and Docker, and be able to run production pipelines, containers and cloud environments.
Python, Spark, Hadoop, Docker, Kubernetes, Airflow
Databricks: Databricks is the Data and AI company.
7+ ansCandidates need 7+ years in customer-facing pre-sales, architecture or consulting, with strong skills in big data, data warehousing or machine learning. They should be fluent in SQL and have coding experience in Python, Scala, Java or R.
Spark, Delta Lake, MLflow, Kafka, Hadoop
Databricks: Databricks is the Data and AI company.
5+ ansCandidates need 5+ years in a customer-facing pre-sales, architecture or consulting role, with expertise in big data, data warehousing, data science or data applications. Fluency in SQL and a debug or development skill in Python, Scala, Java or R are also required.
Databricks, Delta Lake, MLflow, Koalas, Hadoop
12 entreprises