Forward Deployed Engineer
Toronto, ONUrban 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
Software Engineer II (AI Integration)
Toronto, ONUrban 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
Senior Applied AI Engineer
Toronto, ONUrban 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
Senior Forward Deployed Engineer
Toronto, ONUrban Ridge Supplies
8+ ansUrban Ridge Supplies needs candidates with 8+ years in software, data, platform or AI engineering, including 3+ years building LLM applications and 5+ years with Kubernetes in production. Strong cloud, data engineering and programming skills, plus clear customer-facing communication, are required.
Kubernetes, Spark, Airflow, Databricks, Snowflake, AWS