mPower is a pioneer and global leader in “Development Intelligence”, business intelligence for the social development in government and non-government sectors. If you are passionate about changing the world and improving the lives of millions of poor and disadvantaged people of the world combining both creativity & cutting-edge technology, apply for our Machine Learning Engineer vacancy.

Machine Learning Engineer

No. of Vacancies: 02

Job Nature: Full-time

Salary Range: Negotiable based on the experience and skillset of the candidate.

Duty Station: Head Office in Banani, Dhaka with occasional field visits as per project needs.

Job Description:

mPower is in search of a Machine Learning Engineer to become a part of our Research & Development team. We are looking for a candidate with industry expertise in tackling a variety of challenges. In this role, you will leverage your experience to contribute to an exciting solution encompassing health, agriculture, and e-Learning.

Job Responsibilities:

  • Maintain and extend projects related to NLP, Recommender Systems, and Predictive modelling
  • Develop prototypes and production ready code in Python.
  • Fine-tuning and inferring from state-of-the-art Large Language Models
  • Train, monitor, analyze and fine tune existing models to improve performance.
  • Apply data processing and feature engineering techniques using NumPy, pandas and similar libraries.

Educational Requirements:

  • Bachelor's degree in Computer Science and Engineering or similar field

Experience Requirements:

  • 2 years of ML engineering experience (academic and/or industry) preferred
  • Hands-on/research experience with LLMs preferred

Required Skills:

  • Expertise with Python Data and Machine Learning libraries
  • Moderate experience with LLMs and RAG pipelines
  • Comfortable in handling large amount of data and running ML algorithms on them
  • Basic understanding of XAI
  • Expertise in visualizing and manipulating big datasets

Benefits:

  • Competitive salary package
  • Income tax paid by the company
  • Lunch provided by the company
  • Two festival bonuses
  • Leave Encashment/ Carry Forward Facility
  • Contributory Provident Fund
  • Gratuity
  • Health & Life Insurance for employee and dependents

Application Instructions - To us your CV will represent yourself even before we meet. Take your time and prepare your CV by highlighting your qualities and achievements which best suits this circular and e-mail to career@mpower-social.com with the subject “Machine Learning Engineer” by the 24th of May, 2025.

*Candidates are encouraged to apply as soon as possible. We will be conducting several interview sessions before the application deadline and as soon as we find a suitable candidate, we will select that candidate and move on ahead with that individual. mPower aims to attract and select a diverse workforce ensuring equal opportunity for everyone. Qualified female candidates are encouraged to apply.