Senior Machine Learning Engineer AI/RL

St-Amour & Associates, Senc.; Montreal; On-site; CAD 80,000 - 120,000; Full time

Job summary

A leading company in AI-driven drug discovery seeks a Machine Learning Engineer/AI Developer in Montreal. This role focuses on developing large language models (LLMs) to enhance drug discovery processes, collaborating with scientists to translate challenges into innovative AI solutions. Candidates with a PhD or related experience in AI and a strong background in biomedical data are encouraged to apply.

Qualifications

• Education: PhD or exceptional Master’s graduate with relevant experience.
• Strong understanding of LLM architectures.
• Experience with biomedical/healthcare data is preferred.

Responsibilities

• Design, train and fine-tune LLMs for biomedical text analysis.
• Collaborate with domain experts to create AI-driven solutions.
• Optimize model performance for deployment in B2B environments.

Skills

NLP techniques

Model optimization

Collaboration

Education

PhD in Computer Science

Master’s degree in a related field

Tools

PyTorch

TensorFlow

JAX

Job description

Our partner is a pioneer in AI-driven drug discovery and development, harnessing cutting-edge generative AI and deep learning technologies to accelerate the creation of novel therapeutics. Our Pharma.AI platform combines biology, chemistry, and clinical data to transform the drug discovery process from target identification and molecule generation to clinical trial optimization.

Join the team and help push the boundaries of AI in healthcare, bringing life-saving treatments to patients faster.

We are seeking a motivated Machine Learning Engineer/AI Developer to develop and optimize large language models (LLMs) for our Pharma.AI platform. This role focuses on building AI solutions tailored to the needs of biopharmaceutical partners, enabling faster drug discovery and collaborative R&D. You will work closely with cross-functional teams of AI researchers, scientists, and software engineers to deploy scalable, industry-leading AI tools.

Key Responsibilities:

• Design, train, and fine-tune LLMs for biomedical text analysis, knowledge extraction, and multi-modal data integration.
• Collaborate with domain experts to translate pharma R&D challenges into AI-driven solutions (e.g., literature mining, target validation, predictive modeling).
• Stay updated on SOTA LLM architectures (e.g., Transformer variants, retrieval-augmented models) and adapt them for biomedical use cases.
• Optimize model performance for deployment in B2B environments, ensuring scalability, latency, and regulatory compliance.
• Write clean, maintainable code and contribute to ML pipelines.
• Participate in code reviews, model validation, and documentation.
• Support the integration of LLMs into end-to-end Pharma.AI platform.

Skills and qualifications :

• Education: PhD in Computer Science, Machine Learning, Bioinformatics, or related fields. Exceptional Master’s graduates with relevant experience will also be considered.
• Technical Skills:
  • Strong understanding of LLM architectures (Transformer, BERT, GPT, etc.) and NLP techniques (tokenization, embeddings, attention mechanisms).
  • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX).
  • Experience with distributed training, model optimization, or LLM deployment is a plus.
• Domain Knowledge:
  • Prior exposure to biomedical/healthcare data (e.g., scientific literature, clinical trials, omics) is highly preferred.
  • Familiarity with B2B AI product development cycles (requirement gathering, prototyping, enterprise deployment) is a strong advantage.
• Mindset: Curiosity about AI-driven drug discovery, adaptability to fast-paced R&D, and a collaborative spirit.
• Preferred Qualifications
  • Publications or projects in NLP/LLMs applied to life sciences.
  • Experience with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).
  • Contributions to open-source ML projects.

To stay informed, subscribe
to our newsletter