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Machine Learning Engineer
Machine Learning EngineerQuantiphi • Ciudad de México, Ciudad de México, Mexico
Machine Learning Engineer

Machine Learning Engineer

Quantiphi • Ciudad de México, Ciudad de México, Mexico
Hace 2 días
Descripción del trabajo

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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 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
  • Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!

    Key Responsibilities

  • Serve as a trusted technical advisor to customers, providing guidance on AI strategy, architecture, and implementation.
  • Solve complex ML challenges by designing robust solutions for feature extraction, feature definition, data validation, monitoring, and model management.
  • Architect and implement multi‑step agentic AI workflows using ADK, Agent Engine, LangChain, Vertex AI, and AgentSpace.
  • Coach and mentor customers on the practical challenges of machine‑learning systems, ensuring best practices for scalability, reliability, and performance.
  • Collaborate with customers, partners, and Google product teams to design and deliver customized AI solutions into production environments.
  • Provide technical enablement and knowledge transfer, empowering customer teams to maintain and extend deployed AI systems.
  • Stay current with emerging AI frameworks, tools, and trends, proactively bringing insights to improve solution architectures and customer outcomes.
  • Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent practical experience).
  • Strong hands‑on experience with machine‑learning frameworks and pipelines (e.g., TensorFlow, PyTorch, scikit‑learn).
  • Proven expertise in architecting and deploying AI workflows with tools such as ADK, LangChain, Vertex AI, and AgentSpace.
  • Deep understanding of data lifecycle management, including data ingestion, validation, monitoring, and governance.
  • Excellent communication and customer engagement skills with a consultative approach to problem‑solving.
  • 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.
  • Seniority level

  • Associate
  • Employment type

  • Contract
  • Job function

  • Engineering and Information Technology
  • Industries

  • IT Services and IT Consulting
  • #J-18808-Ljbffr

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