Machine Learning Engineer

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.