Lead Product Engineer - ML Platform

About Fusemachines Fusemachines is a leading AI strategy, talent, and education services and products provider. Founded by Sameer Maskey Ph.

D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, United States, Canada, and Dominican Republic and more than 400 full-time employees).

Fusemachines seeks to bring its global expertise in AI to transform companies around the world. We seek a Lead Product Engineer with strong core software engineering experience and some experience with Machine Learning (ML) / ML Operations (MLOps) to spearhead our engineering initiatives for a new product line.

Bonus Points if you’ve worked on an ML Ops platform. Responsibilities : Engineering Excellence : Oversee the development, scaling, and optimization of our ML platform and other products while ensuring the software engineering foundations are solid, scalable, and maintainable.

This includes being very hands-on in leading efforts in system architecture, API design, data processing, and infrastructure supporting machine learning and application development.

ML / MLOps Innovation : Guide the team in adopting and innovating in machine learning model development, deployment, monitoring, and management.

Ensure the ML lifecycle is fully integrated with our CI / CD pipelines, Kubernetes, emphasizing automation, reproducibility, and scalability.

Software Development Leadership : Champion best practices in software development, including design patterns, code quality, security, and performance.

Ensure that our core software engineering practices enable and enhance our ML capabilities, fostering a culture of excellence.

Team Building and Mentorship : Lead, mentor, and lead a diverse distributed engineering team of software developers, ML engineers, and data engineers.

Create an environment that encourages innovation, collaboration, and continuous learning across both software engineering and ML / ML Ops domains.

Cross-functional Collaboration : Serve as a bridge between the ML / MLOps and software engineering teams, ensuring tight integration and collaboration.

Work closely with product management, UX / UI designers, and other stakeholders to deliver a seamless, high-quality product.

Qualifications : Experience : At least 8+ years of technology experience, with experience leadership roles managing teams that specialize in both ML / MLOps and core software engineering.

Experience with ML metrics observability, workflow orchestration, service release automation, notebook development, LLM deployment is a plus.

Technical Expertise : A deep understanding of Enterprise Software architecture, design patterns, and modern programming languages coupled with a strong foundation in machine learning algorithms, data modeling, and MLOps practices across the major cloud providers (AWS, Azure, GCP).

Leadership and Vision : Proven ability to lead, inspire, and grow multidisciplinary engineering teams. Strategic thinker with the capacity to balance short-term goals with long-term vision.

Collaborative Skills : Excellent communication and collaboration skills, capable of fostering positive relationships across engineering teams and with other business units.

Education : Advanced degree in Computer Science, Engineering, or a related field, with a strong background in both AI / machine learning and software engineering. Powered by JazzHR