Machine Learning Engineer

Job Description

Title: Machine Learning Engineer

Company Name: mPower Social Enterprises Ltd.

Vacancy: 1

Age: Na

Job Location: Dhaka (Banani)

Salary: --

Experience:

• At least 2 years
• The applicants should have experience in the following business area(s): IT Enabled Service,NGO

• Bachelor of Science (BSc) in Computer Science & Engineering

Bachelor`s degree in Computer Science and Engineering or similar field.

• At least 2 years
• The applicants should have experience in the following business area(s): IT Enabled Service,NGO

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.

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.

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.

• 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.