Data Science Intern

1.

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)

To Apply pls fill this form - https://forms.gle/XVhmoyw9zhKFsfSa7

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.

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.

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

Compensation: 10,000.00 - 15,000.00 per month

Work Location: In person 1.

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)

To Apply pls fill this form - https://forms.gle/XVhmoyw9zhKFsfSa7

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.

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.

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

Compensation: 10,000.00 - 15,000.00 per month

Work Location: In person