Machine Learning Architect - sept-îles (Sept-Iles)

About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building cutting-edge AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: - 21 Google Cloud Partner of the Year awards in the past 10 years - 3 AWS AI/ML Partner of the Year awards - 3 NVIDIA Partner of the Year awards - 3 Snowflake Partner of the Year awards - Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: Website or LinkedIn Page Job Description: Responsibilities: - Experiment, evaluate, and create generative AI products for a variety of tasks, such as extracting data, summarizing documents, and other generative model applications - Use fine tuning and advanced knowledge retrieval methods to improve the performance of generative AI models on specific tasks - Evaluate the performance of models and make necessary improvements - Collaborate with other scientists, data engineers, machine learning operations engineers, prompt engineers, and product owners to develop generative AI products Required Skills: - Undergraduate degree in a quantitative field - Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git - Experience with cloud computing platforms such as AWS - Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning - Experience in generative algorithms (e.g., RAG, GAN, VAE, etc.) as well as pre-trained models (e.g., LLaMa, SAM, etc.) - Experience with NLP or CV - Experience developing models from inception to deployment Preferred Qualifications: - Experience fine-tuning and quantizing foundation models - Experience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.) - Experience with Bedrock, JumpStart, HuggingFace - Experience evaluating ethical implications of AI and controlling for them (e.g., red-teaming) - Graduate degree with an emphasis in research What’s in it for YOU at Quantiphi? - Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale. - Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges. - Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents. - Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling. Apply on Kit Job: kitjob.ca/job/2nzor5