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Hays
6+ YOECandidates need a bachelor's degree in a related field, 6 to 8 years of software engineering experience, and 3+ years delivering AI or generative AI solutions in production. Strong Python, AWS and document intelligence skills are required, and financial services or regulated-industry experience is an asset.
AWS, Amazon Bedrock, Python, PyTorch, TensorFlow, LangChain
Jazz Aviation LP: Proudly rooted in Canadian aviation since the 1930s, Jazz operates more flights to more Canadian destinations than any other carrier.
5+ YOECandidates need 5+ years designing enterprise solutions, experience with generative AI or machine learning, and knowledge of RAG, AI agents or Responsible AI. They also need API and enterprise integration skills, DevOps experience, and fluent English.
Copilot Studio, Power Platform, Azure AI Foundry
Workana
8+ YOECandidates need 8+ years of IT experience, including 5+ years designing solution or integration architecture, plus hands-on experience with Azure or GCP AI services and agent frameworks such as LangGraph. Fluent English is required.
Microsoft Azure, Azure AI Foundry, Azure OpenAI, Vertex AI, LangGraph, LangChain
Tiger Analytics Inc.
15+ YOETiger Analytics needs 15+ years in commercial pharma analytics or data product management. Candidates must know commercial pharma functions, industry datasets, and tools such as SQL, Snowflake and Power BI.
Snowflake, Databricks, Power BI, Tableau, SQL, AWS
Tiger Analytics Inc.
8+ YOECandidates need substantial Scrum Master or Agile delivery experience, advanced knowledge of Scrum, Lean and Agile, and experience with release and change management. Experience with Azure DevOps or Jira, cloud platforms like Azure or AWS, and data science programs is preferred.
Azure DevOps, Jira, Confluence, Miro, Azure, AWS
Tiger Analytics Inc.
8+ YOECandidates need 8 to 14 years of experience, including 5+ years in analytics, with mandatory Retail or CPG experience in supply chain. Strong Python and SQL, statistics, machine learning and executive communication are required.
Python, SQL, Power BI, Git, PySpark, Hadoop
Tiger Analytics Inc.
Candidates need hands-on Google Cloud Vertex AI experience, advanced SQL for BigQuery and Python for machine learning. They also need experience with cloud storage, model endpoints, data preprocessing and agentic AI architectures.
Vertex AI, BigQuery, Spanner, AlloyDB, Dataflow, Google Cloud Storage
Tiger Analytics Inc.
Candidates need hands-on experience with LLM frameworks, vector databases, model serving and multi-cloud infrastructure, plus strong Python skills. Travel to client sites is required.
Terraform, OpenTofu, Kubernetes, LangChain, LlamaIndex, AutoGen
Tiger Analytics Inc.
7+ YOECandidates need 7+ years in software, ML or AI engineering, strong Python skills, and hands-on experience building GenAI or agentic AI systems in production. Experience with at least one major cloud (AWS, Azure or GCP) and strong customer-facing communication are also required.
Python, Amazon Bedrock, Azure OpenAI Service, Vertex AI, OpenSearch Serverless, Azure AI Search
Tiger Analytics Inc.
10+ YOECandidates need 10+ years in software or AI/ML work, strong Python skills, experience deploying LLM and GenAI solutions, and experience leading technical teams while staying hands-on. Client-facing communication and stakeholder management are essential.
Python, FastAPI, Docker, Kubernetes, LangChain, LangGraph
Tiger Analytics Inc.
8+ YOECandidates need 8+ years in software architecture, system integration or machine learning engineering, including 2-3 years productionizing AI or LLM solutions. Preferred experience with Azure Databricks.
Azure Databricks
Digital Technology Institute for Development (DTID): DTID provides a ‘super-connector’ platform for policy-makers, corporate executives and digital technology innovators to experiment and adopt the…
Candidates need technical programming ability, knowledge of AI, machine learning or data science, and strong English communication. A relevant degree is preferred, and experience with Python, TensorFlow or PyTorch, cloud platforms and GitHub is an asset.
Python, R, TensorFlow, PyTorch, Scikit-learn, AWS
Digital Technology Institute for Development (DTID): DTID provides a ‘super-connector’ platform for policy-makers, corporate executives and digital technology innovators to experiment and adopt the…
5+ YOECandidates need at least 5 years of experience in blockchain, AI, data science or similar fields, plus senior team leadership and hands-on blockchain programming. Excellent English and strong communication with technical and non-technical audiences are also required.
Solidity, Ethereum, Python, TensorFlow, PyTorch, Scikit-learn
DataVisor
3+ YOEDataVisor needs candidates with a Master's or PhD in a quantitative field and 3+ years of fraud, cybersecurity or risk experience. They must know classic machine learning, Python, SQL and production ML, and communicate clearly to technical and non-technical audiences.
Spark, SQL, Python, AWS, GCP, Azure
Altis
Candidates need post-secondary education in a business, engineering, supply chain, computer science or data analytics field, or an equivalent mix of education and experience. Strong skills in Power BI, SQL, Databricks and the Microsoft Power Platform are required, along with excellent written and verbal English communication.
Power BI, Power Apps, Power Automate, Databricks, Microsoft Fabric, Snowflake
LinkedIn Job Wrapping: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
3+ YOECandidates need 3 to 5 years of software or data engineering experience, strong Python and TypeScript skills, and hands-on work with Gemini, Vertex AI and RAG. Artefact also expects fluency with agentic coding tools and GCP experience, and a Google Cloud certification (or commitment to obtain one within two months).
Gemini Enterprise, Vertex AI, Google ADK, BigQuery, LangGraph, LangChain
LinkedIn Job Wrapping: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
3+ YOECandidates need 3 to 5 years of data science experience, strong statistics and ML skills, and proficiency in Python and SQL. Hands-on LLM experience and a specialization in a major AI platform ecosystem (Google, Anthropic or OpenAI) are required, along with a master's degree or equivalent experience.
Python, SQL, scikit-learn, XGBoost, PyTorch, Vertex AI
LinkedIn Job Wrapping: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
3+ YOECandidates need 3-5 years of software or data engineering experience, with recent hands-on work on LLM-based development. Strong Python and TypeScript skills, RAG and agentic framework experience, and specialization in one AI platform plus a cloud platform are required, along with fluent English.
React, Python, TypeScript, Terraform, Claude Code, Gemini CLI
Databricks: Databricks is the Data and AI company.
10+ YOECandidates need 10+ years of experience with HTML, CSS and JavaScript, plus 10+ years of server-side web development. They also need SQL, cloud and container experience, and experience building large-scale distributed systems.
Docker, Kubernetes
11 companies