AI 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.

Location : Remote (Full-time)

Role Overview

We are seeking a highly skilled and motivated MLOps Engineer with a strong background in computer vision. In this role, you will be responsible for the full lifecycle of our machine learning models, from development and optimization to deployment and scaling. You will build and maintain the infrastructure that allows our cutting-edge computer vision algorithms to run reliably and efficiently in production. The ideal candidate will have a deep understanding of both MLOps principles and 3D computer vision, with hands-on experience in containerization, model optimization, and scalable systems.

Key Responsibilities

• Design, build, and maintain robust, scalable, and automated MLOps pipelines for model training, evaluation, and deployment (CI / CD for ML).
• Containerize machine learning applications using Docker for scalable and reproducible deployments.
• Deploy and manage ML models at scale
• Optimize deep learning models for inference performance, including techniques like quantization, pruning, and distillation.
• Work with and extend state-of-the-art AI models for tasks such as :

Depth estimation and 6D object pose estimation.

Required Qualifications

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.

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