AI Engineer

Our client in the software development sector is seeking an AI Engineer on a full time/perm basis. In this role, you’ll work closely with clients to design, fine-tune, and generative AI models tailored to solve business problems. Location: Hybrid Mississauga Fulltime/permanent Key Responsibilities: Collaborate with clients to understand their unique needs and design tailored generative AI solutions. Fine-tune, optimize, and evaluate pre-trained models for specific use cases in NLP, computer vision, or other generative domains. Integrate AI models into client environments and ensure smooth deployment and operation. Provide hands-on technical support, debugging, and troubleshooting of deployed solutions. Deliver training sessions, demos, and workshops to educate clients and internal teams on generative AI capabilities. Stay abreast of advancements in AI, machine learning, and foundation model technologies (e.g., LLMs, diffusion models). Document methodologies, implementation details, and results; communicate findings effectively to technical and non-technical stakeholders. Requirements: Hands-on experience fine-tuning and deploying generative AI models (e.g., GPT, Stable Diffusion, LLaMA). Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers. Solid understanding of deep learning techniques, including attention mechanisms and transformer architectures. Experience with data preprocessing, augmentation, and visualization tools. Strong analytical and problem-solving abilities. Excellent communication and collaboration skills; ability to explain complex topics clearly. Preferred Qualifications: Experience with Natural Language Processing (NLP) and/or Computer Vision. Familiarity with cloud platforms such as AWS, Azure, or GCP. Previous experience in a consulting, agency, or client-facing role. Contributions to open-source AI projects, research publications, or participation in AI competitions (e.g., Kaggle, Hugging Face challenges).