While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
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 data-engineering practices to create breakthrough impact at unprecedented speed.
Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead.
Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others.
We’ve been recognized with:
17x Google Cloud Partner of the Year awards in the last 8 years.
3x AWS AI/ML award wins.
3x NVIDIA Partner of the Year titles.
2x Snowflake Partner of the Year awards.
We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.
We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.
Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation.
Your next big opportunity starts here!
For more details, visit: Website or 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.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Skills Required
- Mastery of Python and its machine learning ecosystem
- 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
- 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
- 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
Quantiphi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.
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Flexible Benefits — Hybrid and work-from-home options are commonly available and perceived as meaningful perks that increase overall package value. Flexibility by team and role often enhances day-to-day experience even when cash pay is not top-tier.
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Healthcare Strength — U.S. materials indicate medical coverage that includes dental and vision, and employee accounts align with having these plans in place. The presence of core health benefits contributes to a baseline of security across key locations.
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Parental & Family Support — Paid parental leave is available in the U.S., with examples citing generous leave lengths. Family-focused policies appear alongside other flexibility features.
Quantiphi Insights
What We Do
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.
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