ML Engineer

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, the United States, Canada, and the Dominican Republic and more than 250 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world.

Qualification and Experience

• Must have at least a bachelor's degree in Computer Science or similar.
• Minimum 2 years of relevant work experience.

Required skills/Competencies

• Proficient in Basic Machine Learning concepts: algorithms, evaluation procedures, etc, and dealing with Common failure modes. Experienced in at least one area of application (E.g. CV, NLP, etc) 
• Has a sound knowledge of mathematical concepts like Linear Algebra, Probability and Statistics, Calculus
• Proficient in frameworks & libraries such as Numpy, Pandas, Matplotlib, Scikit-learn and a good grasp of at least one of Tensorflow or Pytorch. Familiar with Flask, FastAPI or Django, and some domain-specific tools (e.g: opencv, spacy, etc)
• Good Grasp on programming language and concepts such as Python + OOP + SOLID, Data Structures and Algorithms, RESTful APIs, and familiar with Architecture Design
• Good Grasp of software tools and platforms such as git, conda, pip, jupyter, Docker, and at least one cloud platform like AWS/GCP
• Good grasp of a database such as SQL/NoSQL
• Has a good grasp of agile processes like Sprint and Kanban
• Good Team Management, Communication, and Problem-Solving Skills

Key Responsibilities

• Develop AI applications to adhere to designs that support business requirements for internal and external clients.
• Research and develop machine learning models and work on the whole ML pipeline: data collection, wrangling, pre-processing, model building, evaluation, and deployment
• Perform data analysis to uncover insights that can be immediately actionable or can inform decisions around the ML process.
• Take initiative and ownership in writing requirement specifications and design documents for a variety of development tasks including feature development, database design, and system integrations.
• Preparation, drafting, and review of software documentation and project reports to meet internal and client requirements.
• Orchestrate deployment, monitoring, and maintenance of ML applications as per requirement.
• Lead one or more projects in different capacities (if required)
• Guide other developers and help them (as required) to do their work and look for ways to improve overall team output.
• Take on Leadership roles (e.g: Supervisorial) as required.

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.