Senior Machine Learning Engineer

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

Requirements:

• 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