Quantiphi
Senior Machine Learning Engineer
USA - Remote · Senior
Sponsorship not specifiedDetected 15 days ago
PythonFastAPIGitSnowflakeAWSGCPDockerKubernetesCI/CDJenkinsDevOpsMachine LearningLLMsAgentic AIMLOpsExcelCustomer SupportResearch
About the role
- 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.
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.
- CI/CD Automation: Design and maintain robust automated pipelines using Jenkins and GitLab Runners to ensure continuous integration, testing, and deployment of ML tools.
- Provide expert-level technical support and proactive maintenance for the Python SDK ecosystem, ensuring stability, reliability, and seamless adoption across the organization.
- 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.
Requirements
- 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.
- 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.
Nice 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.
Skills
- Headquartered in Boston, with 4,000+ professionals across the globe.
- Quantiphi leverages Applied AI technologies across multiple a.
- 3x AWS AI/ML award wins.
- 3x NVIDIA Partner of the Year titles.
- 2x Snowflake Partner of the Year awards.
Benefits
- High-Performance APIs: Architect and deploy scalable, high-performance APIs using FastAPI to serve as the backbone for machine learning services and agent interactions.
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This listing is sourced directly from Quantiphi's careers page and normalized into a canonical job model.