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!

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.

Minimum Requirements

• 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.