
Data Science Intern
2 weeks ago
Position:
Data Science Intern - Computer Vision & LLM Fine-Tuning
Location:
Onsite - Bengaluru
Duration
: 3 months (Unpaid)
Company
: Ideafloats Technologies Pvt Ltd.
About the Role
This internship offers the opportunity to work on cutting-edge AI applications in healthcare by contributing to computer vision models and fine-tuning large language models (LLMs). You'll collaborate with data scientists, ML engineers, and domain experts to design, train, and evaluate models that directly impact patient care and clinical decision-making.
Key Responsibilities
- Collect, annotate, and preprocess text, image, and medical data for model training.
- Assist in training and fine-tuning LLMs for domain-specific tasks (question answering, summarization, medical report generation).
- Support the development of computer vision pipelines for tasks like image classification, object detection, and anomaly detection.
- Run experiments with deep learning frameworks (PyTorch/TensorFlow) and evaluate model performance.
- Document methodologies, experiments, and results in a reproducible format.
- Create visualizations and dashboards to communicate findings to the product and clinical teams.
Required Skills & Qualifications
- Pursuing or recently completed a degree in Computer Science, AI/ML, Data Science, or related fields.
- Strong Python programming skills with experience in PyTorch or TensorFlow.
- Knowledge of machine learning concepts, NLP, and computer vision fundamentals.
- Familiarity with data preprocessing for text (tokenization, embeddings) and images (augmentation, normalization).
- Understanding of transformer architectures (BERT, GPT, etc.) and CNNs/vision transformers.
Nice to Have
- Experience in fine-tuning LLMs using Hugging Face Transformers or similar libraries.
- Exposure to MLOps tools (Weights & Biases, MLflow, DVC).
- Familiarity with cloud platforms (AWS, Azure, or GCP) for model training.
- Interest or background in healthcare/medical AI applications.
What You'll Gain
- Hands-on experience in cutting-edge areas: computer vision, LLMs, and generative AI.
- Mentorship from a cross-functional team of engineers and domain experts.
- Opportunity to work on impactful projects shaping the future of healthcare AI.
- A portfolio of real-world applications in AI/ML to showcase your skills.
- Internship Certificate on completion.
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