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WellnessLiving
7+ YOECandidates need 7+ years of B2B SaaS product management experience and a record of launching AI-powered products. They must show first-principles problem solving, technical literacy with engineers, and clear written and verbal communication.
Coaching, Sales, Documentation, Prioritization, Communication skills, ML
Inspiren
7+ YOECandidates need 7+ years of product management, including 3+ in B2B, and experience building AI or ML products with quality metrics like recall and precision. Experience owning B2B pricing, packaging and willingness-to-pay testing is required, along with a quantitative mindset on ROI and adoption.
ML, Packaging, EHR, Communication skills, Mental health
Rogers Communications: Rogers is Canada’s communications and entertainment company, driven to connect and entertain Canadians.
Candidates need a university degree in computer science, IT or data management, and strong experience architecting multi-system solutions. They also need hands-on cloud data platform skills, data security and governance knowledge, and experience designing AI or GenAI solutions.
Azure, AWS, Databricks, Snowflake, Microsoft Fabric, Azure Event Hubs
Urban Ridge Supplies
10+ YOECandidates 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+ YOECandidates 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+ YOECandidates 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+ YOECandidates 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
7+ YOECandidates need a Bachelor's or Master's degree in a related field, 7+ years of software engineering with at least 3 years in AI/ML, and hands-on experience with LLM applications, knowledge graphs, vector search and cloud platforms. Strong CI/CD, observability and stakeholder communication skills are also required.
Neo4j, MongoDB Atlas, Microsoft Copilot Studio, Akka SDK
Urban Ridge Supplies
3+ YOECandidates 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+ YOECandidates 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
6+ YOECandidates need 6+ years in machine learning, data or software engineering, including 3+ years building AWS data pipelines. Strong Python, production AI deployment experience, and hands-on work with generative AI and knowledge graphs are required; a Bachelor's degree is required and a Master's is preferred.
AWS SageMaker, AWS ECS, AWS Lambda, AWS S3, AWS EventBridge, AWS Step Functions
Urban Ridge Supplies
4+ YOEGEI 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
Urban Ridge Supplies
4+ YOEGEI 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
Urban Ridge Supplies
Derivative Path needs candidates with hands-on experience building with LLMs, such as RAG, agents or fine-tuning, plus data engineering and Python with AI frameworks. Production AI or MLOps experience and cloud platform knowledge are also wanted, and financial derivatives knowledge is a bonus.
Python, PyTorch, HuggingFace, LangChain
Urban Ridge Supplies
2+ YOECandidates need 2-3 years of experience and a bachelor's degree in computer science, AI or a related field, plus production Python, LLM integration, RAG knowledge, SQL and cloud/Kubernetes skills. Experience with MCP, agent frameworks or knowledge graphs is a strong asset.
Kubernetes, BigQuery, Snowflake, OpenAI API, Anthropic API, Google API
Urban Ridge Supplies
8+ YOECandidates need 8+ years of software engineering experience, including production AI or LLM systems. They should have customer-facing experience and strong skills in APIs, cloud platforms and communication.
Software development, ML, Industrial software, Communication skills, Regulatory compliance, Coaching
Urban Ridge Supplies
3+ YOECandidates 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+ YOECandidates 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
Urban Ridge Supplies
5+ YOECandidates 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
Urban Ridge Supplies
2+ YOECandidates 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
Urban Ridge Supplies
12+ YOECandidates need 12+ years of software engineering experience, including principal or architect-level leadership, and recent hands-on production coding. Strong experience with production AI/LLM systems, enterprise integration, cloud architecture and customer-facing technical work is required.
APIs
Urban Ridge Supplies
Candidates need experience delivering complex AI systems in production, hands-on LLM system building, and strong Python or Java backend skills. They also need strong client-facing communication with both technical and non-technical stakeholders.
ML, Back-end development, Python, Oracle Java, Problem solving, Work independently
6 companies