mPower Social Enterprises Ltd.
mPower Social Enterprises Ltd.
mPower Social Enterprises Ltd.
Follow
More jobs from this company
Summary
- Vacancy: 1
- Location: Dhaka (Banani)
- Salary: Negotiable
- Published: 13 Jun 2024
Requirements
Education
Bachelor’s degree in Computer Science and Engineering.
Additional Requirements
- Expertise with Python Data and Machine Learning libraries
- Deep understanding of classical ML algorithms and neural networks: can work with popular algorithms, understands their efficacy and scope of use
- Comfortable in handling large amount of data and running ML algorithms on them
- Comfortable with LLMs
- 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.
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.
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
Employment Status
Full Time
Job Location
Dhaka (Banani)