[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.
Responsibilities
- SDK Framework Development: Lead the design and implementation of Feature Enhancements for internal Python SDK frameworks to expand functionality and improve developer experience
- User Support & Maintenance: Provide expert-level technical support and proactive maintenance for the Python SDK ecosystem, ensuring stability, reliability, and seamless adoption across the organization
- Agentic Orchestration: Develop and scale agentic workflows using modern Agentic Frameworks to execute intricate business processes with minimal oversight
- High-Performance APIs: Architect and deploy scalable, high-performance APIs using FastAPI to serve as the backbone for machine learning services and agent interactions
- CI/CD Automation: Design and maintain robust automated pipelines using Jenkins and GitLab Runners to ensure continuous integration, testing, and deployment of ML tools
- Observability & Prototyping: Utilize Galileo for model evaluation and observability, ensuring that agentic workflows remain accurate, safe, and performant in production environments
Skills
- Mastery of Python and its machine learning ecosystem, with extensive experience building production-ready services via FastAPI
- Proficiency in building and scaling agentic workflows and multi-agent systems
- Hands-on experience with Jenkins and GitLab Runners for automating software lifecycles and managing SDK distribution
- Experience working with standardized application templates (e.g., PyVegas) and evaluation platforms like Galileo
- Proven ability to design scalable infrastructure and maintain complex software frameworks used by other engineering teams
- Strong analytical skills to debug complex SDK interactions and logic loops
- Ability to collaborate with cross-functional teams to define requirements for autonomous systems and developer tools
- Proven ability to drive high-impact projects from research to production with minimal supervision
- Contributions to open-source Python SDKs or Agentic AI projects
- Experience with MLOps practices for the continuous deployment of agentic systems
- Familiarity with containerization (Docker/Kubernetes) for deploying FastAPI-based microservices
Benefits
- 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.
Company Overview
Company H1B Sponsorship