Manager, AI & Machine Learning, Technology Division

Brac; Snowflake (AZ); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Festival Bonus

Health and Life Insurance

Day Care Facility

Performance Bonus

Job summary

An international development organization is seeking a Manager for AI & Machine Learning. You will lead the design and implementation of AI solutions, oversee project lifecycles, and ensure responsible AI practices. The ideal candidate has at least 4 years of experience in Data Science or related fields. The role offers competitive benefits and opportunities for real impact in the community.

Qualifications

• Minimum 4 years of experience in Data Science, Machine Learning, or AI roles.
• Proven experience with frameworks and cloud platforms for handling large datasets.
• Strong understanding of responsible and ethical AI practices.

Responsibilities

• Lead the design and implementation of AI & ML solutions.
• Manage multiple AI/ML projects with timely delivery.
• Ensure compliance with ethical AI frameworks and privacy laws.

Skills

AI and ML experience

Data manipulation

Python programming

Project management

Education

Bachelor’s degree in Computer Science

Tools

NumPy

pandas

Job description

Manager, AI & Machine Learning, Technology Division

Location: Head Office
Date Posted: September 4, 2025
Last Date of Application: September 14, 2025

BRAC is an international development organisation founded in Bangladesh that partners with over 100 million people living with inequality and poverty globally to create sustainable opportunities to realise potential.

Working at BRAC is not like any other job. It is a platform where you can bring about real change for people who need it the most. We are not just dreaming of a better world, we are building it. Join us to find the way.

Job Purpose

This position will lead the design, implementation, and continuous improvement of Artificial Intelligence (AI) and Machine Learning (ML) solutions to drive innovation, strengthen operational efficiency, and support data-informed decision-making. The role will collaborate with cross-functional teams to ensure the effective integration of AI solutions across key organizational areas.

Key Responsibilities

• Develop and lead the AI & ML roadmap in alignment with organizational priorities and digital transformation strategies.
• Oversee the complete lifecycle of model development, including data preprocessing, training, validation, deployment, and monitoring.
• Design and implement AI solutions using supervised, unsupervised, and reinforcement learning techniques.
• Enhance and optimize models through fine-tuning, monitoring, and feature engineering with tools such as NumPy and pandas.
• Build and maintain NLP, recommender, and predictive models in Python.
• Fine-tune and deploy Large Language Models (LLMs) to improve scalability and efficiency.
• Manage multiple AI/ML projects with timely delivery, clear documentation, and high technical standards.
• Collaborate with data governance teams to ensure responsible AI use, compliance with privacy laws, and adherence to ethical AI frameworks.
• Support and organize AI and data-related events, conferences, and workshops to strengthen networks and partnerships.
• Prepare and deliver regular reports on AI and analytics activities, project status, and outcomes.

Safeguarding Responsibilities

• Ensure the safety of Programme Participants, people who come into contact with the organisation and team members from any harm, abuse, neglect, harassment and exploitation including sexual exploitation and abuse (SEA) to achieve the programme's goals of safeguarding implementation. Act as a key source of support, guidance and expertise on safeguarding for establishing a safe working environment.
• Practice, promote and endorse the issues of safeguarding policy among team members and ensure the implementation of safeguarding standards in every course of action.
• Follow the safeguarding reporting procedure in case any reportable incident takes place and encourage others to do so.

Additional Job Requirements

• Proven experience with frameworks, cloud platforms, big data technologies, and data pipeline tools, with the ability to handle large datasets and run machine learning algorithms effectively.
• Practical experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and advanced AI applications such as NLP, computer vision, recommendation systems, and deep learning.
• Strong understanding of responsible and ethical AI practices, with familiarity in model interpretability frameworks.
• Expertise in visualizing, analyzing, and manipulating big datasets, combined with strong business acumen to bridge technical and non-technical communication.
• Background in applying AI/ML solutions across diverse sectors such as healthcare, finance, education, or development is considered an advantage.

Educational Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, or any related field.

Experience Requirements

Minimum 4 years of proven experience in Data Science, Machine Learning, or AI roles.

Benefits

Festival Bonus, Contributory Provident Fund, Gratuity, Performance Bonus, Health and Life Insurance, Maternity/ Paternity Leave, Wellness Centre Facility, Day Care Facility, and others as per policy.

Apply Now

BRAC believes that everyone we work with—including our staff, programme participants, partners, and the communities we serve—has the right to be protected from all forms of harm, abuse, neglect, harassment, and exploitation, including sexual exploitation and abuse.

We uphold human dignity and inclusion for all, regardless of age, race, religion, gender, disability, ethnic origin, or socio-economic background. We are an equal opportunity employer. We especially encourage those who have shown resilience—who have faced personal struggles, bounced back, and continued to move forward—to apply.

Selected candidates will have to go through a rigorous reference and background checking process which may include police verification.

Whoever you are doing good is everyone’s business.