Publié il y a 3 jours
Data Scientist
@ CoreTek Labs
Mississauga, Ontario
En bref
CoreTek Labs is hiring a Lead Data Scientist with AI/ML on a long-term contract in Mississauga, Greater Toronto. The role builds GenAI, agentic and LLM-based solutions for healthcare life science and medical device clients, taking them from proof-of-concept to production. The posting asks for 12+ years of experience, including 8+ years in AI/ML.
Responsabilités :
- Design and orchestrate multi-agent AI systems
- Build production-grade GenAI and LLM applications
- Integrate AI into enterprise systems and workflows
- Translate operational problems into AI solutions with business leaders
- Lead AI product development from proof-of-concept to deployment
Résumé des exigences :
- 8+ years in AI/ML, 2+ years in GenAI or LLM solutions
- Strong Python development skills
- Experience with Azure OpenAI, OpenAI, Anthropic or similar platforms
- Deep knowledge of RAG, vector databases and evaluation frameworks
- Strong executive-level communication skills
Outils et compétences
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-11-10
- Première détection par notre source
- 2026-11-14
- Mise à jour du dossier source
- 2026-11-14
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 | 12 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 | 3 |
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
Journal
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