Publié avant-hier
Lead Applied AI Scientist - (Healthcare life science/Medical Device)
@ CoreTek Labs
Mississauga, Ontario
En bref
CoreTek Labs is hiring a Lead Applied AI Scientist on a long-term contract in Mississauga, Greater Toronto. The role requires 8+ years in AI/ML, including 2+ years building GenAI, agentic or LLM-based solutions, and takes AI products from proof-of-concept to production.
Responsabilités :
- Design and build multi-agent and LLM-based AI solutions
- Translate operational problems into AI solutions with business leaders
- Integrate AI into enterprise systems and workflows
- Take AI products from proof-of-concept to production
Résumé des exigences :
- 8+ years in AI/ML, 2+ years in GenAI or LLM solutions
- Strong Python development for production applications
- Experience with Azure OpenAI, OpenAI, Anthropic or similar platforms
- Deep knowledge of RAG, vector databases and evaluation frameworks
- Experience integrating AI with SAP, Oracle, Snowflake or Databricks
Outils et compétences
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-11-09
- Première détection par notre source
- 2026-11-10
- Mise à jour du dossier source
- 2026-11-11
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Chef d’équipe |
| Domaine | Données et analytique |
| Expérience | 8 an(s) et plus |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
CoreTek Labs
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 1 |
Role: Lead Applied AI Scientist - (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
Journal
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