Machine Learning (Intern)

Genius Farms Limited

 

Genius Farms Limited

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Summary

• Vacancy: —
• Location: Dhaka
• Minimum Salary: Negotiable
• Published: 21 May 2025

 

Requirements

Education

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

Additional Requirements

• Required Qualifications
• Strong interest in machine learning and computer vision.
• Basic understanding of ML concepts (training, data, accuracy).
• High attention to detail and consistency in visual tasks.
• Familiarity with image annotation tools or a willingness to learn.
• Currently pursuing or recently completed a degree in Computer Science, Data Science, AI/ML, or a related field.
• Ability to work independently and follow structured processes.

Responsibilities & Context

Location: Dhaka

Duration: 2–3 Months (Extension possible based on performance)

Compensation: As per company policy

About the Role

We are looking for passionate and detail-oriented Machine Learning & Data Annotation Interns to join our Computer Vision team. This role is ideal for fresh graduates or early-career professionals eager to gain practical exposure in the machine learning field — particularly in object detection and dataset preparation.

Interns will work on annotating large-scale image datasets and also get involved in supporting the ML pipeline, including assisting with model evaluation, dataset curation, and basic experimentation workflows. This is a fantastic opportunity to build your foundational knowledge in ML while contributing directly to production-grade projects.

What You’ll Learn

• End-to-end lifecycle of training object detection models.
• Importance of high-quality labeled data in computer vision systems.
• Hands-on use of annotation tools and data management best practices.
• Introduction to model training, evaluation, and real-world ML applications.
• Collaboration in a real ML team environment with mentorship and feedback.

Key Responsibilities

• Annotate images using tools like Labeling, CVAT, or Roboflow with attention to accuracy and consistency.
• Collaborate with ML engineers to understand how annotations affect model training and accuracy.
• Assist in dataset curation tasks — including image filtering, cleanup, and formatting.
• Participate in model evaluation by reviewing predictions and identifying false detections or misclassifications.
• Support dataset versioning and organization for multiple training iterations.
• Suggest improvements to labeling guidelines and annotation workflows based on practical challenges.
• Engage in internal learning sessions to understand object detection concepts and toolchains.

Skills & Expertise

Machine Learning

Programming languages: Python

Compensation & Other Benefits

• Weekly 2 holidays
• Lunch Facilities: Full Subsidize

Why Join Us?
Learn practical skills that go beyond classroom theory.
Work on real-world ML problems with direct mentorship from experienced engineers.
Get exposure to data-centric AI practices that are critical to modern ML success.
Build a strong foundation for future roles in ML, Data Science, or AI research.

Workplace

Work at office

Employment Status

Internship

Job Location

Dhaka

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