[Remote] Senior Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. 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. They are seeking a Senior Machine Learning Engineer to lead the evolution of core Python SDK frameworks and Agentic AI capabilities, building production-grade tools for sophisticated autonomous systems.ResponsibilitiesSDK Framework Development: Lead the design and implementation of Feature Enhancements for internal Python SDK frameworks to expand functionality and improve developer experienceUser Support & Maintenance: Provide expert-level technical support and proactive maintenance for the Python SDK ecosystem, ensuring stability, reliability, and seamless adoption across the organizationAgentic Orchestration: Develop and scale agentic workflows using modern Agentic Frameworks to execute intricate business processes with minimal oversightHigh-Performance APIs: Architect and deploy scalable, high-performance APIs using FastAPI to serve as the backbone for machine learning services and agent interactionsCI/CD Automation: Design and maintain robust automated pipelines using Jenkins and GitLab Runners to ensure continuous integration, testing, and deployment of ML toolsObservability & Prototyping: Utilize Galileo for model evaluation and observability, ensuring that agentic workflows remain accurate, safe, and performant in production environmentsSkillsMastery of Python and its machine learning ecosystem, with extensive experience building production-ready services via FastAPIProficiency in building and scaling agentic workflows and multi-agent systemsHands-on experience with Jenkins and GitLab Runners for automating software lifecycles and managing SDK distributionExperience working with standardized application templates (e.g., PyVegas) and evaluation platforms like GalileoProven ability to design scalable infrastructure and maintain complex software frameworks used by other engineering teamsStrong analytical skills to debug complex SDK interactions and logic loopsAbility to collaborate with cross-functional teams to define requirements for autonomous systems and developer toolsProven ability to drive high-impact projects from research to production with minimal supervisionContributions to open-source Python SDKs or Agentic AI projectsExperience with MLOps practices for the continuous deployment of agentic systemsFamiliarity with containerization (Docker/Kubernetes) for deploying FastAPI-based microservicesBenefitsMake 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.Company OverviewQuantiphi is a digital engineering company that provides data science and machine learning software and services. It was founded in 2013, and is headquartered in Marlborough, Massachusetts, USA, with a workforce of 1001-5000 employees. Its website is http://www.quantiphi.com.Company H1B SponsorshipQuantiphi has a track record of offering H1B sponsorships, with 2 in 2026, 45 in 2025, 65 in 2024, 45 in 2023, 94 in 2022, 71 in 2021, 46 in 2020. Please note that this does not guarantee sponsorship for this specific role.