Job Information
Fusemachines ML Engineer in Kathmandu, Nepal
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.
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