Senior ML Ops Engineer

About Fusemachines

Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world.

About the role

As an MLOps Engineer,  your primary responsibility will be to design, develop, test, and manage end-to-end generative AI and large language model (LLM) applications and services for both internal and external products. This will include creating and managing complex AI systems, integrating LLMs, real-time systems, APIs, and agentic workflows in a robust, scalable, and powerful manner. Your expertise in AI technologies will drive innovation, efficiency, and automation across our platform.

Join us in a dynamic, growth-oriented environment where your work will directly impact people's lives and shape the future of government services. This is an exceptional opportunity to be a key player in leveraging AI to enhance our product offerings and drive positive social impact.
 

Requirements

• A minimum of 7 years of professional software development experience.
• Passionate drive for our mission and relentless pursuit of customer success.
• Intolerance for mediocrity and high commitment to doing everything necessary to achieve your goals.
• High moral and ethical standards, seeking open and honest communication, and rejecting manipulation, dishonesty, and intolerance.
• Demonstrated dedication and commitment to our customers, shareholders, employees, and local communities.
• Experience with Python, especially for asynchronous applications.
• Expertise with LLMOps, general MLOps, or other closely related AI specializations, especially experience with testing and maintaining production LLM applications and with self-hosting ML models.
• Experience with cloud infrastructure (Terraform, Pulumi).
• Experience with scalable, containerized solutions (Kubernetes, GKE, ECS, Docker).
• Strong proficiency in systems architecture.
• Bonus -- If you can be in person in D.C. 

This project involves work with the U.S. Government, which may limit our ability to provide visa sponsorship

Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.