Title: AI/ML Engineer
Company Name: mPower Social Enterprises Ltd.
Vacancy: 1
Age: At least 24 years
Job Location: Dhaka (Gulshan)
Salary: Negotiable
Experience:
Bachelor’s/Master`s degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
2+ years of hands-on experience developing, testing, and shipping production-level machine learning models or NLP pipelines.
Experience setting up local computational workloads or server-side model deployment will be preferred.
Advanced proficiency in Python and standard ML frameworks.
Solid experience with large language models, Transformers, and fine-tuning.
Familiarity with relational databases, vector databases, and graph frameworks.
Experience in managing bilingual data pipelines, tokenization, and semantics.
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 AI/ML Engineer vacancy.
Duty Station: Head Office in Gulshan, Dhaka with occasional field visits as per project needs.
Job Description: As an AI/ML Engineer at mPower, you will join our core engineering team to build, optimize, and maintain production-ready machine learning solutions across our enterprise portfolio. Your work will focus on expanding our core capabilities in Natural Language Processing (NLP), predictive modeling, and data-driven automation. This role is ideal for a versatile engineer who thrives on solving complex language and structural data challenges in a low-profile, high-impact commercial environment.
Job Responsibilities:
Fine-tune language and predictive models using custom datasets.
Optimize algorithms to process mixed language unstructured data pipelines.
Build and query graph-structured databases, relational networks, and vector repositories.
Construct clean, automated backend pipelines for multi-modal inputs.
Design, optimize, manage, secure bidirectional API to link AI/ML models with active enterprise solutions.
Run regular audits using semantic scoring metrics to track factual consistency and prevent system hallucinations.
Conduct technical stress testing to verify compliance.
Conduct code reviews, provide constructive feedback and mentor junior team members.
Competitive salary package.
Income tax paid by the company.
Lunch provided by the company.
Two festival bonuses.
Leave Carry Forward Facility.
Contributory Provident Fund.
Gratuity.
Health & Life Insurance for employee and dependents