Senior Machine Learning Engineer

🕒 July 6

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Quantiphi

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Series A on 2019-12

Consulting • Healthcare • Logistics

Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.

📋 Description

• Lead the design and implementation of Feature Enhancements for internal Python SDK frameworks to expand functionality and improve developer experience. • Provide expert-level technical support and proactive maintenance for the Python SDK ecosystem, ensuring stability, reliability, and seamless adoption across the organization. • Develop and scale agentic workflows using modern Agentic Frameworks to execute intricate business processes with minimal oversight. • Architect and deploy scalable, high-performance APIs using FastAPI to serve as the backbone for machine learning services and agent interactions. • Design and maintain robust automated pipelines using Jenkins and GitLab Runners to ensure continuous integration, testing, and deployment of ML tools. • Utilize Galileo for model evaluation and observability, ensuring that agentic workflows remain accurate, safe, and performant in production environments.

🎯 Requirements

• 3-6+ years of experience in software development • 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.

🏖️ 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. • Ample opportunities to learn, grow and interact with colleagues from varied experience and backgrounds around the globe.