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Machine Learning Engineer

mPower Social Enterprises Ltd.
Banani, Dhaka
08/05/2025

Requirements

Education
  • Bachelor of Science (BSc) in Computer Science & Engineering
  • Bachelor’s degree in Computer Science and Engineering or similar field
Experience
  • At least 2 years
Additional 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

Responsibilities & Context

  • 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.
  • 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.

Compensation & Other Benefits

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

Employment Status

Full Time

Job Location

Dhaka (Banani)

https://shorturl.at/Q4jBn

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