Engineer and optimize cutting-edge LLMs to deliver impactful AI-driven products. Full-time Permanent Role Downtown, Toronto - Hybrid Start Date - by March 2026 Enterprise client, global team with centre of excellence here in their Toronto Offices. Core Responsibilities Collaborate with AI engineers and technical teams to architect and deploy LLM-based solutions addressing complex business challenges in cloud environments (including CPU and GPU configurations). Research and apply cutting-edge techniques for LLM development, such as pre-training, fine-tuning, alignment strategies, and prompt engineering, while exploring broader generative AI capabilities. Develop and curate novel datasets to enable LLMs to perform new tasks, and build scalable, repeatable pipelines for data collection and processing using Python and modern software engineering practices. Write and maintain high-quality, production-ready code aligned with organizational standards and objectives. Create reusable tools, frameworks, and workflows to streamline generative AI and LLM operations. Communicate project progress and manage stakeholder expectations effectively. Adapt to changing priorities while maintaining delivery timelines and project momentum. Required Qualifications 5+ years of experience in AI engineering or machine learning, with a strong focus on LLMs and proficiency in Python for production-level coding. Deep understanding of the LLM lifecycle, including dataset creation for pre-training, instruction tuning, and preference alignment, as well as deployment strategies. Strong problem-solving skills and ability to communicate technical concepts clearly to both technical and non-technical stakeholders. Hands-on experience with LLM frameworks and libraries (e.g., Transformers, TRL, DeepSpeed, PyTorch) and practical implementation of ML techniques at scale. Expertise in distributed systems and high-performance architectures. Solid foundation in NLP, including text representation, semantic extraction, and related modeling techniques. Familiarity with containerization technologies such as Kubernetes and Docker. #J-18808-Ljbffr
Job Title
Senior Machine Learning Engineer