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Job Description: Data Science Intern - Generative AI
Location: Delhi NCR (On Site)
Job Type: Internship (Paid)
Duration: 6 months
Pre Placement Offer (Based on performance)
We are seeking a Data Science Intern with a keen interest in Computer Vision to explore and
models, and adapt to a quick-paced environment. Strong communication skills are essential for
collaboration with mentors and peers. A commitment to writing clean code and maintaining thorough
documentation is highly valued.
Key Responsibilities:
- Build, fine-tune, and optimize computer vision models for object detection, segmentation, and
OCR using TensorFlow/PyTorch.
- Implement data preprocessing pipelines with OpenCV and NumPy to improve model performance.
- Participate in end-to-end projects, from prototyping to deploying solutions via Docker.
- Conduct experiments to benchmark model performance and document insights.
- Contribute to version-controlled codebases using Git for clean and efficient development.
- Stay updated on deep learning trends like YOLO advancements and
transformer-based architectures.
- Develop and integrate Vision Language Models (VLMs) to enable advanced image understanding, scene
interpretation, object reasoning, and natural language-based interaction with visual data.
Required Skill
- Proficiency in Python with experience in OpenCV, NumPy, and deep learning frameworks
like TensorFlow/PyTorch.
- Basic understanding of linear algebra concepts, including vectors and matrices, for
image transformations.
- Exposure to deep learning architectures, especially CNNs, for image classification.
- Familiarity with advanced CV techniques like Transfer Learning, YOLO, OCR, or segmentation
is a plus.
- Experience with model deployment, lightweight web apps (Streamlit/Flask), or Docker is a plus.
- Basic knowledge of version control tools like Git is beneficial.
- A portfolio showcasing computer vision projects or participation in open-source/hackathons is