Senior Machine Learning Engineer

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If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

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 target="_blank">Websiteor LinkedIn Page.

Role:Senior Machine Learning Engineer

Experience Level:3-6+ yrs

Work Location:Dallas, TX

Role Overview:

We are looking for a highly skilled Senior Machine Learning Engineer to lead the evolution of our core Python SDK frameworks and Agentic AI capabilities. In this role, you will be responsible for building production-grade tools that empower teams to deploy sophisticated autonomous systems. You will leverage the PyVegas App template and Galileo to deliver scalable solutions, bridging the gap between innovative agentic orchestration and robust, maintainable software architecture.

Key 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.

Basic Qualifications:

• Programming & APIs: Mastery of Python and its machine learning ecosystem, with extensive experience building production-ready services via FastAPI.

• Agentic Frameworks: Proficiency in building and scaling agentic workflows and multi-agent systems.

• DevOps & CI/CD: Hands-on experience with Jenkins and GitLab Runners for automating software lifecycles and managing SDK distribution.

• Internal Tooling: Experience working with standardized application templates (e.g., PyVegas) and evaluation platforms like Galileo.

• Systems Design: 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.

Good to Have:

• 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.

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.