Machine Learning (Intern)

Job Description

Title: Machine Learning (Intern)

Company Name: Genius Farms Limited

Vacancy: --

Location: Dhaka

Minimum Salary: Negotiable

Published: 21 May 2025

Education:
∎ Bachelor of Science (BSc) in Computer Science & Engineering

Requirements:

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:
∎ 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.
∎ 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.
∎ 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
∎ Key Responsibilities

Skills & Expertise:

Compensation & Other Benefits:
∎ Weekly 2 holidays
∎ Lunch Facilities: Full Subsidize

Workplace:
∎ Work at office

Employment Status: Internship

Job Location: Dhaka

Company Information:
∎ Genius Farms Limited
∎ 572/K, Wasi Tower (7th Floor) ECB Chattar, Dhaka 1206
http://genius-farms.com/
∎ Genius Farms Limited is a cutting-edge Agro Tech company committed to transforming the agricultural landscape through innovative, data-driven solutions.

Address::
∎ 572/K, Wasi Tower (7th Floor) ECB Chattar, Dhaka 1206
∎ http://genius-farms.com/
∎ Genius Farms Limited is a cutting-edge Agro Tech company committed to transforming the agricultural landscape through innovative, data-driven solutions.

Read Before Apply: Please apply only who are fulfilling all the requirements of this job

Application Deadline: 31 May 2025

Category: IT/Telecommunication

Interested By University

University Percentage (%)
BRAC University 8.33%
North South University 6.67%
Daffodil International University (DIU) 6.25%
American International University Bangladesh (AIUB) 6.04%
Jahangirnagar University 3.33%
Bangladesh University of Business and Technology 3.13%
Green University of Bangladesh 2.92%
East West University 2.92%
Independent University, Bangladesh 2.08%
Bangladesh University 1.67%

Interested By Age Range

Age Range Percentage (%)
20-30 93.33%
31-35 3.75%
36-40 1.25%
40+ 1.25%

Interested By Salary Range

Salary Range Percentage (%)
0-20K 91.25%
20K-30K 5.21%
30K-40K 1.46%
40K-50K 1.46%
50K+ 0.63%

Interested By Experience Range

Experience Range Percentage (%)
0 years (Freshers) 62.29%
0.1 - 1 years 15.00%
1.1 - 3 years 13.54%
3.1 - 5 years 5.00%
5+ years 4.17%

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