Design, implement, optimize, and evaluate self-updating multimodal architectures for real-time fraud detection.
Develop and manage active learning pipelines utilizing uncertainty quantification and Human-in-the-Loop (HITL) feedback to capture and adapt to continuous acoustic and semantic concept drift.
Prepare, curate, and preprocess high-quality datasets for training or fine-tuning, and validating models.
Utilize state-of-the-art machine learning techniques and ML frameworks, tools and open-source libraries to enhance model performance, accelerate workflows, and optimize data processing.
Undertake applied research on ML and fraud detection techniques to address the limitations in existing models.
Optimize ML pipelines to ensure efficiency, scalability, and real-time processing capabilities.
Collaborate with the project team and stakeholders to develop MVP and client focused solutions.
Engage in regular client meetings, contributing to presentations and reports on project progress.

Completion of a Computer Science (or a related graduate degree program) MSc. or PhD, ideally with specialization in audio/speech processing, LLMs, or fraud/anomaly detection.
Demonstrated expertise in training, fine-tuning (e.g., LoRA), and evaluating Large Language Models (LLMs) and deep neural networks
Proficient in Python programming language and related ML frameworks, libraries, and toolkits (e.g., PyTorch, HuggingFace (Transformers, PEFT, TRL), torchaudio, librosa, Pandas, Scikit-learn).
Solid understanding of classical statistics and its application in model validation.
Familiarity with Linux, Git version control, and writing clean code.
A positive attitude towards learning and understanding a new applied domain.
Must be legally eligible to work in Canada.

Work under the mentorship of an Amii Scientist for the duration of the project
Participate in professional development activities
Gain access to the Amii community and events
Get paid for your work (a fair and equitable rate of pay will be negotiated at the time of offer)
Build your professional network
The opportunity for an ongoing machine learning role at the client’s organization at the end of the term (at the client’s discretion)

Machine Learning Resident – 1 Year Term

Key skills