Machine Learning Engineer
2489 views | Apply Before: 2025-11-29
Job Summary
No. of Vacancy
1
Job Type
Full Time
Offered Salary
Negotiable
Gender
Any
Career Level
Mid Level
Category
N/A
Experience
2+ years of experience in machine learning, with a focus on generative AI and fine-tuning.
Preferred Education
Bachelor in IT/Engineering
Location
Durbarmarg, Kathmandu
Apply Before
2025-11-29
Job Description

Job Description: 
We are seeking an experienced Machine Learning Engineer with a strong focus on Generative AI to join our team. The ideal candidate will have a deep understanding of fine-tuning models, prompt engineering, and deploying AI solutions at scale. You will work closely with cross-functional teams to implement and optimize ML models, ensuring they perform efficiently on cloud platforms. Additionally, you will lead projects, breaking down complex tasks into actionable steps and guiding junior engineers.

Responsibilities:

  • Design, develop, and fine-tune generative AI models for various applications.
  • Develop and implement prompt engineering techniques to optimize AI outputs.
  • Deploy and manage ML models on cloud platforms, ensuring scalability and performance.
  • Collaborate with data engineers and product teams to integrate AI solutions into production  environments.
  • Lead and mentor a team of junior ML engineers, providing guidance on best practices.
  • Break down high-level tasks into detailed, executable plans.
  • Utilize Python and data structures to create efficient algorithms and processes.
  • Work with both SQL and No-SQL databases to manage and retrieve data.
  • Continuously monitor and improve the performance of deployed models
Job Specification

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 2+ years of experience in machine learning, with a focus on generative AI and fine-tuning. 
  • Proficiency in Python and deep understanding of data structures and algorithms.
  • Experience with cloud platforms (AWS, Azure, Google Cloud) for deploying ML models.
  • Strong knowledge of SQL and No-SQL databases.
  • Proven ability to lead and mentor a team of engineers.
  • Excellent problem-solving skills with the ability to break down complex tasks.
  • Strong communication skills to collaborate effectively with cross-functional teams.
E-learning platform

E-learning platform