Job Title

Research Engineer - Python/ML Infrastructure/DevOps - Hybrid - $140k CADAs a Research Engineer, you will join an extremely high performing team in the R&D division of a multinational conglomerate, who develop market leading AI solutions into a plethora of vertical markets. You will work in a team that takes models from proof of concept into deployment for clients within the legal sector. This role forms a pivotal intersection the deployment process, of building infrastructure and building the software around the ML deployment process.ResponsibilitiesApplying modern software development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high-quality solutions.You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithmsBuilding infrastructure that provides the systems, tooling, automation, compute, storage, and monitoring needed to take a model all the way from prototype, deployment, and continuous improvement and deliveryQualifications5 years of experience in Python2 years of experience in ML, including MLOps & ML infrastructureExperience with language models (NLP, IR, LLMs, RAG, NER)experience in ETL/ELT & building scalable pipelinesexperience in building CI/CD pipelinesexperience with DevOps practicesexperience with Git, GitHub actions, etcexperience within a research or academic setting