Join Our Community
1\.
We are seeking a Data Science Intern with a keen interest in Computer Vision to explore and
implement state\-of\-the\-art models. The ideal candidate can break down complex tasks, optimize
models, and adapt to a fast\-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.
● 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.
● Explore transfer learning techniques to adapt pre\-trained models for specific applications.
● Collaborate with teams to integrate AI models into applications using Streamlit or Flask.
● 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
an advantage.
Job Types: Full\-time, Internship
Pay: ₹10,000\.00 \- ₹15,000\.00 per month
Work Location: In person
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