About Fusemachines

Fusemachines is a leading AI strategy, talent, and education services 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 350 full-time employees). Fusemachines seeks to bring its global expertise in AI to transform companies around the world.

About the role

This is a remote, 1 year contract role

Responsibilities

• Develop innovative data-driven solutions to complex business problems
• Strong understanding of statistical modeling techniques, including regression analysis, time series analysis, and Bayesian methods.
• Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients' machine learning systems
• Facilitate the development and deployment of machine learning systems
• Communicate with clients to build requirements and track progress
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to a diverse audience.
• Strong problem-solving skills and a meticulous attention to detail.

Qualifications

• 4+ years experience building production-quality machine learning systems.
• Familiar building end-to-end systems
• Fluency in Python
• Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)
• Ability to translate business needs to technical requirements
• Strong understanding of software testing, benchmarking, and continuous integration
• Exposure to machine learning methodology and best practices

Education

Bachelor's or Master's degree and/or equivalent professional experience

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.