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P&P Optica
3+ ansCandidates need at least 3 years of professional software development experience with machine learning work, mastery of Python and its scientific libraries, and experience with Git, Docker and CI/CD tools. They should be able to handle messy high-dimensional sensor data and hold a bachelor's or master's degree in a technical field.
Python, NumPy, SciPy, Pandas, Scikit-Learn, PyTorch
Mythic
3+ ansCandidates need 3+ years of compiler or high-performance systems development, hands-on MLIR experience (dialect design, passes, lowering), and proficiency in modern C++ and Python. Understanding of compiler IRs and lowering from high-level ops to hardware-aware representations is essential.
PyTorch, ML, Debugging, C++, Python, Scheduling
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
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 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
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
Urban 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
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
Candidates need hands-on experience with machine learning in production, and preferably with LLM tools such as prompt engineering, RAG or agent frameworks. Experience with pricing, marketplace or fraud problems, cloud ML services, and independently scoping projects is an asset.
AWS SageMaker, AWS Bedrock, LangChain, LangGraph
Urban Ridge Supplies
5+ ansCandidates need 5+ years of software engineering experience, daily use of agentic coding tools, and hands-on production experience with LLMs. Strong Python, API design, AWS deployment and clear written communication are also required.
AWS, FastAPI, TypeScript, Node.js, GraphQL, Amazon Bedrock
Urban Ridge Supplies
5+ ansCandidates need 5+ years of software engineering experience, including production API and data-pipeline design, and hands-on production LLM integration. Strong Python and AWS skills, evaluation literacy, and clear written communication are required.
Python, FastAPI, TypeScript, Node.js, AWS, GraphQL
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
Urban 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
Urban Ridge Supplies
4+ ansCandidates need a bachelor's, master's or PhD in computer science, engineering or a related field, plus 2 to 4 years of hardware, software or systems engineering experience depending on the degree. Qualcomm prefers a master's degree and deep experience with ML frameworks, embedded systems and programming languages such as Python and C++.
PyTorch, Keras, Caffe, Python, C++, Linux
Urban 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
Tech Talent International: Tech Talent International is boutique recruitment firm based out of the Toronto Canada.
3+ ansCandidates need 3+ years of cloud and container experience on Azure or Google, including Kubernetes and Docker, plus CI/CD and Infrastructure-as-Code skills. Public cloud experience in financial services with security and regulatory knowledge is strongly preferred.
Kubernetes, Docker, Terraform, GitHub Actions, Jenkins, Helm
NTT DATA Canada, Inc.
10+ ansCandidates need 10+ years of software or technology experience, including 3+ years of hands-on production AI/ML work. Expert Python skills, experience with LLM frameworks and RAG, and experience leading complex initiatives are required.
Python, PyTorch, TensorFlow, Hugging Face Transformers, LangChain, FastAPI
NTT DATA Canada, Inc.
8+ ansCandidates need 8+ years of Python-based AI experience, including 3+ years architecting and deploying enterprise agentic AI with frameworks such as LangChain, LangGraph or CrewAI. They also need knowledge graph and retrieval experience (Neo4j, RDF, SPARQL, vector databases, Graph RAG) and a bachelor's degree in computer science or equivalent experience.
Neo4j, AWS Neptune, LangChain, LangGraph, CrewAI, AutoGen
7 entreprises