Senior Machine Learning Engineer

Company ProfileQuantiphi 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.Company Highlights:Quantiphi, an AI-First Digital Engineering Services & Platforms company, with a 2.5x growth YoY since its inception in 2013Headquartered in Boston, with 3200+ data science professionals across 11 global officesWinner of 3X NVIDIA AI Partner of the year awardWinner of the 13X Google Cloud Partner of the Year award including "Machine Learning, Breakthrough and Social Impact partnerWinner of 3X AWS AI/ML Partner of the Year awardPreferred and Premier Partner for AWS, Google Cloud, NVIDIA, Snowflake, Databricks and moreRecognized Leader in the AI space by IDC, Forrester, Gartner, ISG, Everest Group and other leading analyst firmsWinner of Best in Business Award in Established Business category by INC., 2022Winner of Competitive Strategy Leadership Award in Artificial Intelligence Services in Public Sector (2021), Healthcare (2022) and Financial Services(2023) by Frost & SullivanRecognized in the Fast Company 2021 World Changing Ideas- AI and Data categoryWinner of AI Excellence Award 2022 and 2023 including 'Generative AI product' category for Baioniq, Quantiphi's generative AI platformFor more details, visit our Website or our LinkedIn PageExperience Level: 3+ years of experienceLocation: Toronto - CanadaMust have skills:Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or related field.Good understanding and experience in developing applications using large language models (LLMs) on Google Cloud, with a preference for Langchain.Hands-on technical experience implementing, and developing cloud ML solutions, preferably on Google Cloud Platform (Google Cloud Platform)Experience with GenAI frameworks such as Vertex AI and other open-source platforms suitable for Google Cloud Platform environmentsHands-on experience fine-tuning large language models (LLMs) and Generative AI (GAI) models.Hands-on experience with retrieval augmented generation (RAG) architecture and experience using vector indexing tools on Google Cloud Platform.Strong familiarity with higher-level trends in LLMs and open-source platforms, particularly in the Google Cloud Platform ecosystem..Response Quality: Collaborate with ML and Integration engineers to leverage LLM & pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. Thorough understanding of NLP techniques for text representation and modeling on Google Cloud Platform.Ability to collaborate effectively with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions.What is in it for you:Be part of the fastest-growing AI-first digital transformation and engineering company in the worldBe a leader of an energetic team of highly dynamic and talented individualsExposure to working with fortune 500 companies and innovative market disruptorsExposure to the latest technologies related to artificial intelligence and machine learning, data and cloud