Posted: Jan 8, 2026
Deadline: Feb 20, 2026
1,560 views
112 applicants
About the Role
CloudFactory is looking for a Machine Learning Engineer to work on AI/ML pipelines that power intelligent data processing for global enterprise clients. You will work with a world-class team on cutting-edge problems.
Key Responsibilities
- Design, develop and deploy machine learning models into production
- Build and maintain scalable ML pipelines on AWS
- Collaborate with data scientists to productionize research models
- Monitor model performance and implement improvements
- Write clean, well-documented Python code
- Contribute to architectural and technical decisions
Requirements
- 3+ years of ML engineering experience
- Strong Python skills with PyTorch or TensorFlow
- Experience deploying models on AWS SageMaker or similar
- Solid understanding of MLOps practices
- Experience with data pipelines (Airflow, Spark)
- Strong communication skills in English
What We Offer
USD-equivalent competitive salary
Work with global enterprise clients
Remote-friendly culture
World-class engineering team
Medical and life insurance
Continuous learning opportunities
Ready to Apply?
Submit your application before Feb 20, 2026. Only shortlisted candidates will be contacted.
Job Overview
Job Type
Full-timeLocation
KathmanduSalary
NRS 1.2L - 1.8LExperience
3–6 yearsLevel
Senior LevelDeadline
Feb 20, 2026About the Company
CloudFactory
AI/ML
CloudFactory is a globally recognized AI data company that trains and operates a cloud workforce for AI and machine learning applications. Founded in Nepal, the company has grown to thousands of workers across Nepal, Kenya, and India, serving top-tier enterprise clients in the US and Europe. CloudFactory combines social mission with tech innovation.
Size1,000–5,000 employees
Founded2010
IndustryAI/ML
