Machine Learning Engineer

Get AI-powered advice on this job and more exclusive features.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; 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 years3x AWS AI / ML award wins3x NVIDIA Partner of the Year titles2x Snowflake Partner of the Year awardsRecognized leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firmsWe offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge generative AI and agentic AI acceleratorsWe have been certified as a Great Place to Work for the third year in a row –Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation.Your next big opportunity starts hereKey ResponsibilitiesServe 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.QualificationsBachelor'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 levelAssociateEmployment typeContractJob functionEngineering and Information TechnologyIndustriesIT Services and IT Consulting#J-*****-Ljbffr