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Engineering AI
2 weeks ago
Overview
IDEMIA Public Security, a division of IDEMIA Group, is the leading provider of secure and trusted biometric-based solutions, transforming public and private organizations across the globe. Our industry-enabled and client-specific solutions draw upon decades of expertise in biometrics to revolutionize the fields of public security, justice and public safety, travel and transport, identity, and access control. Built on privacy and trust, our market-leading iris, fingerprint and facial recognition solutions top independent benchmarking for accuracy, fairness and scalability. These exacting standards enable our clients to build safer, fairer societies where people can live, interact, and move about freely. With 4000+ employees around the world and 150+ partners worldwide, we offer more than just a job - we provide a dynamic environment where innovation thrives, opportunities abound, and your talents are valued. Be part of a global leader shaping the future of biometric based technology. Learn more here.
Responsibilities
Are you curious about how large language models (LLMs) and generative AI actually work? Do you like solving problems with code and learning by building? Join us to help prototype, test, and deploy intelligent systems that reason, generate, and automate.
What you'll doBuild and iterate on small AI features and tools with guidance (Python).
Help run and evaluate LLMs (open-source models) in controlled environments.
Contribute to simple APIs and scripts that connect models to real workflows.
Clean and organize datasets (PDF/XML/Markdown/JSON) for experiments.
Run experiments and record results; help debug issues and improve reliability.
Learn modern ML dev practices: versioning, containers, metrics, and basic evals.
Hands-on exposure to LLMs, from running to evaluating and shipping small features.
Mentorship from engineers building production-adjacent AI pipelines.
A clear, supportive environment that values curiosity and growth.
Real-world projects in public safety, identity, and enterprise automation.
Qualifications
Must-haves (student-friendly)
Currently enrolled in a CS/Engineering (or similar) program.
Comfortable writing Python and using Git.
Basic ML fundamentals (e.g., linear models, neural nets) from courses or projects.
Curiosity, initiative, and willingness to learn unfamiliar tools.
A project (class or personal) that shows you like building things.
Intro experience with PyTorch or Transformers.
Familiarity with containers (Docker) or REST APIs (FastAPI/Flask).
Interest in LLMs and infra (e.g., vLLM, batching, KV cache).
Exposure to cloud or GPUs (Colab/AWS/local rigs).
Prompt engineering, evaluation, or simple fine-tuning (e.g., LoRA).
Messaging/storage basics (RabbitMQ, MinIO) or data pipelines.
Important Dates:
Start Date: May 18, 2026
End Date: Aug 7, 2026
Note: This is a hybrid role, you must be able to travel to the office.
The Canadian hourly rate for this position is $25.
