Data Scientist
- Mississauga, ON, Canada
Contract
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Original job description
Role: Lead Data Scientist with AI/ML - (Healthcare life science/Medical Device)
Location: Mississauga, Greater Toronto
Type: Long term contract
Exp: 12+ Years
Must Have
- 8+ years in AI/ML, with at least 2 years building GenAI, agentic AI, or LLM-based solutions.
- Strong Python development skills and ability to build production-grade applications.
- Hands-on experience with Azure OpenAI, OpenAI, Anthropic, or similar LLM platforms.
- Experience designing and orchestrating multi-agent systems, planning agents, workflow agents, and tool-using agents.
- Deep understanding of RAG, vector databases, semantic search, memory, and evaluation frameworks.
- Experience integrating AI into enterprise systems such as SAP, Oracle, Snowflake, Databricks, APIs, and business workflows.
- Ability to work directly with business leaders to translate operational problems into AI solutions.
- Experience building AI products from proof-of-concept through production deployment.
- Strong communication skills with executive-facing and business-facing stakeholders.
Preferred
- Supply Chain, Manufacturing, Procurement, Logistics, Planning, or Operations experience.
- Experience with LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar agent frameworks.
- Experience with AI observability, evaluation, governance, safety, and human-in-the-loop controls.
- Background leading small AI teams or technical workstreams
More about this job
Responsibilities
Lead the design and development of AI/ML solutions, including LLM-based and multi-agent applications, from proof of concept through production deployment. Work with business leaders to translate operational challenges into AI products and integrate them with enterprise systems and workflows.
Requirements
Requires 12+ years of experience, including 8+ years in AI/ML and at least 2 years building GenAI, agentic AI, or LLM-based solutions, along with strong Python and production application development skills. Candidates should have hands-on LLM platform experience, expertise in RAG and agent orchestration, enterprise integration experience, and strong stakeholder communication skills.
Skills
- Artificial Intelligence
- Machine Learning
- Generative AI
- Agentic AI
- Large Language Models
- Python
- Multi-Agent Systems
- Retrieval-Augmented Generation
- Vector Databases
- Semantic Search
- Azure OpenAI
- AI Product Development
- AI Governance
- Stakeholder Communication
- Technical Leadership
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Healthcare
- Management & Leadership
Keywords
- Artificial Intelligence
- Machine Learning
- Generative AI
- Agentic AI
- Large Language Models
- Python
- Azure OpenAI
- OpenAI
- Anthropic
- Multi-Agent Systems
- Planning Agents
- Workflow Agents
- Tool-Using Agents
- Retrieval-Augmented Generation
- Vector Databases
- Semantic Search
- Memory
- Evaluation Frameworks
- SAP
- Oracle
- Snowflake
- Databricks
- APIs
- LangGraph
- Semantic Kernel
- AutoGen
- CrewAI
- AI Observability
- AI Governance
- Human-in-the-Loop Controls