Genius Farms Limited
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