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Senior Machine Learning Engineer

2 months ago

Dallas, United States Quantiphi Full time

Company Profile

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.


Company Highlights:

  • Quantiphi, an AI-First Digital Engineering Services & Platforms company, with a 2.5x growth YoY since its inception in 2013
  • Headquartered in Boston, with 3200+ data science professionals across 11 global offices
  • Winner of 3X NVIDIA AI Partner of the year award
  • Winner of the 13X Google Cloud Partner of the Year award including "Machine Learning, Breakthrough and Social Impact partner
  • Winner of 3X AWS AI/ML Partner of the Year award
  • Preferred and Premier Partner for AWS, Google Cloud, NVIDIA, Snowflake, Databricks and more
  • Recognized Leader in the AI space by IDC, Forrester, Gartner, ISG, Everest Group and other leading analyst firms
  • Winner of Best in Business Award in Established Business category by INC., 2022
  • Winner of Competitive Strategy Leadership Award in Artificial Intelligence Services in Public Sector (2021), Healthcare (2022) and Financial Services(2023) by Frost & Sullivan
  • Recognized in the Fast Company 2021 World Changing Ideas- AI and Data category
  • Winner of AI Excellence Award 2022 and 2023 including 'Generative AI product' category for Baioniq, Quantiphi's generative AI platform


For more details, visit our Website or our LinkedIn Page


Experience Level: 3+ years of experience


Location: Dallas, TX


Must 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 environments
  • Hands-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 world
  • Be a leader of an energetic team of highly dynamic and talented individuals
  • Exposure to working with fortune 500 companies and innovative market disruptors
  • Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud