🚀 Shape the Future of AI-Powered Procurement! 🚀
We’re leveraging cutting-edge AI to revolutionize global procurement, and we need an LLM Engineer/Machine Learning Engineer to help develop and optimize AI-powered agent frameworks that automate, predict, and streamline decision-making.
As part of our AI Innovation Team, you’ll work on fine-tuning large language models, optimizing inference efficiency, and building AI solutions that deliver real business impact. If you’re passionate about LLMs, NLP, and AI-driven automation, this role is for you!
What You’ll Do:
✅ Develop and deploy LLM-powered AI agents to enhance procurement workflows.
✅ Fine-tune foundation models for domain-specific applications.
✅ Build and maintain data pipelines for model training, processing, and inference.
✅ Work closely with business stakeholders to align AI solutions with strategic goals.
✅ Optimize models using prompt engineering, RAG (retrieval-augmented generation), and vector databases.
✅ Collaborate with cross-functional teams, including data engineers and procurement specialists.
What You Bring:
✔ Master’s degree in Mathematics, Physics, Computer Science, or a related field (PhD in LLM/NLP research is a plus).
✔ 3+ years of experience with LLMs, NLP, or AI-driven automation.
✔ Strong proficiency in Python, PyTorch, TensorFlow, LangChain, LangGraph, and Hugging Face.
✔ Experience fine-tuning large-scale models and optimizing inference efficiency.
✔ Familiarity with vector databases, knowledge graphs, and prompt tuning.
✔ Ability to translate business needs into AI solutions with strong problem-solving skills.
✔ Excellent communication skills to explain AI concepts to non-technical stakeholders.
Nice to Have:
➕ Experience with GCP (Google Cloud Platform) and AI/ML tools.
➕ Knowledge of multi-agent systems and reinforcement learning.
📍 Hybrid Role – Work 2 days a week in our Toronto office.
Join us and be part of the next evolution of AI-powered procurement! Apply now. 🚀
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- Posted
- Mar 27, 2025
- Type
- Contract
- Level
- Mid-Senior
- Location
- Toronto
- Company
- Experis Canada
Industries
Categories
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