Posted:1 week ago|
Platform:
On-site
Internship
Job Title: AI Intern – Model Training & GitHub Code Management
Location: Coimbatore
Duration: 3 to 6 months (extendable based on performance)
Stipend: Paid (based on experience & skills)
About the Role:
We are looking for a passionate and self-motivated AI Intern to assist in training machine learning models and managing code repositories. You will work closely with the AI/ML team to support data preparation, model fine-tuning, performance testing, and ensuring best practices in GitHub version control and collaboration.
What You’ll Do:
Assist in collecting, cleaning, and preparing datasets for model training.
Train and fine-tune ML/NLP models using Python and relevant libraries (e.g., PyTorch, TensorFlow, HuggingFace).
Evaluate model performance and help with parameter tuning.
Manage GitHub repositories:
Branch management
Pull requests and reviews
Version tagging and release documentation
Collaborate with the team on best practices for code organization and CI/CD pipelines.
Write documentation for models, code usage, and deployment steps.
Requirements:
Strong understanding of Python and basic ML/AI concepts.
Familiarity with frameworks like TensorFlow, PyTorch, or HuggingFace Transformers.
Prior experience with training simple ML/DL models (personal projects, coursework, or internships).
Working knowledge of Git and GitHub:
Branching
Merging
Pull requests
Ability to work independently, take initiative, and learn quickly.
Bonus Skills (Good to Have):
Experience with datasets like ImageNet, COCO, or text corpora (e.g., SQuAD, WikiText).
Knowledge of prompt tuning or fine-tuning LLMs.
Exposure to GitHub Actions, Docker, or MLOps pipelines.
Contributions to open-source projects.
Eligibility:
Final year undergraduates, postgraduates, or recent graduates in Computer Science, AI/ML, Data Science, or related fields.
Job Type: Internship
Contract length: 3 months
Pay: ₹5,000.00 - ₹6,000.00 per month
Benefits:
Schedule:
Supplemental Pay:
Education:
Language:
Location:
Work Location: In person
Application Deadline: 26/06/2025
Expected Start Date: 30/06/2025
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