Senior Machine Learning Engineer

Kathmandu, Nepal
Full Time
Asia Technology

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 & Experience

  • Must have at least a bachelor's degree in Computer Science or similar
  • Minimum 4 years of relevant work experience
  • Experience with leading machine learning projects

Required Skills/Competencies

  • Proficient in Basic Machine Learning concepts: algorithms, evaluation procedures, etc, and dealing with Common failure modes
  • Proficient in at least two areas of application (CV, NLP, Recommendation System, Time Series Forecasting, etc.) 
  • Has a sound knowledge of mathematical concepts like Linear Algebra, Probability and Statistics, Calculus
  • Proficient in framework & libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, and at least one of TensorFlow or Pytorch. Proficient in Flask, FastAPI or Django, and some domain-specific tools (OpenCV, spacy, etc.)
  • Proficient in 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
  • Contribute to sub-department, department, and organizational level Operational tasks
  • Take on Leadership roles (like Supervisorial) as required
  • Take on a consultative role in multiple projects if required
  • Improve the Engineering practices, processes, and output of the whole/ sub department

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.


Apply for this position

We've received your resume. Click here to update it.
Attach resume as .pdf, .doc, .docx, .odt, .txt, or .rtf (limit 5MB) or Paste resume

Paste your resume here or Attach resume file

Human Check*