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Senior Machine Learning Engineer

2 months ago

Dallas, Texas, United States Quantiphi Full time
About Quantiphi

Quantiphi is a leading 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:

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

About the Role

We are seeking a highly skilled Senior Machine Learning Engineer to join our team. As a Senior Machine Learning Engineer, you will be responsible for developing and implementing large language models (LLMs) on Google Cloud, with a preference for Langchain. You will work closely with our ML and Integration engineers to leverage LLM & pre-trained potential, delivering contextually appropriate responses in a user-friendly web app.

Key Responsibilities:

  • Develop and implement large language models (LLMs) on Google Cloud, with a preference for Langchain
  • Collaborate with ML and Integration engineers to leverage LLM & pre-trained potential
  • Deliver contextually appropriate responses in a user-friendly web app
  • Develop and fine-tune Generative AI (GAI) models
  • Experience with retrieval augmented generation (RAG) architecture and 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
  • Collaborate effectively with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions

What We Offer

  • 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