Senior Machine Learning Engineer

About Quantiphi: • Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. • Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead. • Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others. We have been recognized with: • 17x Google Cloud Partner of the Year awards in the last 8 years • 3x AWS AI/ML award wins • 3x NVIDIA Partner of the Year titles • 2x Snowflake Partner of the Year awards • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023 For more details, visit: Website or LinkedIn Page Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! 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? • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies. • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues. • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines. • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.