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
Forward Deployed Technical Consultant -Databricks
Mississauga, ONUrban 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
Machine Learning Engineer
Toronto, ONUrban 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
AI Engineer
Guelph, ONUrban Ridge Supplies
4+ ansGEI needs 4+ years of software engineering experience, including at least 1 year building generative AI applications. Candidates should know LLMs, Azure, a language such as Python or SQL, and big data tools like Spark or Databricks.
Copilot Studio, Azure Functions, Power BI, Databricks, Azure Data Factory, Azure Synapse
AI Engineer
Kitchener, ONUrban Ridge Supplies
4+ ansGEI needs candidates with 4+ years of software engineering experience, at least one year building Generative AI applications, and strong Python or SQL skills. Experience with Azure AI services and big data tools like Spark and Databricks is expected.
Copilot Studio, Azure Functions, Power BI, Databricks, Spark, TensorFlow
Specialist, AI Engineering
Toronto, ONUrban Ridge Supplies
5+ ansCandidates need a computer science, data science or AI degree plus five or more years in a technical role building production systems. Strong Python, machine learning, LLM and RAG skills, cloud experience (Google Cloud preferred), and communication with non-technical stakeholders are required.
Python, Java, SQL, Spark, Google Cloud, Gemini
AI Inference Engineer
Toronto, ONUrban Ridge Supplies
2+ ansCandidates need a Bachelor's, Master's or Ph.D. in Computer Science, Engineering, Mathematics or a related field, plus 2+ years of professional experience in a fast-paced environment. Production experience with Python is strongly preferred, along with familiarity with ML pipelines and strong technical communication.
Python, Docker, ComfyUI, Whisper
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
Applied AI Engineer
Mississauga, ONUrban Ridge Supplies
3+ ansCandidates need a bachelor's degree or equivalent experience, 3 to 5 years of engineering experience and over a year deploying LLM applications. They must be strong in Python and APIs, have worked with a frontier GenAI platform, and be able to build retrieval and agentic systems.
Claude API, OpenAI Assistants API, Gemini API, Vertex AI Agent Builder, LangChain, LlamaIndex