Intern(AI)

Intern(AI)

Internship Overview:

Generative AI

What You'll Do:

As an AI Intern with a focus on Generative AI and Computer Vision technologies, you'll work closely with our Data Science Engineers, contributing to various stages of the AI development lifecycle. Your responsibilities may include:

• Data Preparation & Annotation:

  Assist in collecting, cleaning, preprocessing, and annotating large visual and textual datasets tailored for Generative AI and Computer Vision models.

• Model Experimentation & Evaluation:

  Conduct experiments to test, evaluate, and fine-tune AI models for accuracy, performance, and scalability, with a focus on metrics relevant to generative and visual tasks.

• Research & Exploration:

  Research the latest advancements, architectures, and techniques in

  Generative AI

  (e.g., Transformers, Stable Diffusion, multimodal models) and

  Computer Vision

  (e.g., Vision Transformers).

• Prototyping & Implementation:

  Help in building prototypes and integrating Generative AI, Computer Vision, ML & Automation solutions into existing systems or applications.

• Generative AI Development:

• Assist in evaluating, fine-tuning

  Large Language Models (LLMs)

  ,

  Diffusion Models

  for tasks like image synthesis, text generation, code generation, or data augmentation.
• Experiment with

  prompt engineering

  techniques to optimize outputs from generative models.
• Explore new patterns, techniques in Agentic workflows, MCP etc
• Explore and implement techniques for controlling generated content and ensuring model safety/alignment.

• Computer Vision Solutions:

• Contribute to the development of

  Computer Vision

  models for tasks such as

  object detection

  ,

  image segmentation

  ,

  image classification

  ,

  facial recognition

  , or

  video analysis

  .
• Work on

  data augmentation

  strategies specifically for visual datasets to improve model robustness.
• Implement and evaluate advanced image and video processing techniques.

• Documentation:

  Maintain clear and concise documentation of experiments, model development processes, and results.

• Collaboration:

  Actively participate in team discussions, brainstorm new ideas, and collaborate with cross-functional teams to align AI solutions with business objectives.

Who can apply:

Recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning

Strong foundational understanding of core AI and Machine Learning concepts and algorithms.

Demonstrated interest or project experience in Generative AI (e.g., LLMs, GANs, VAEs, Diffusion Models) or Computer Vision (e.g., CNNs, object detection, image segmentation)

Proficiency in at least one programming language, preferably Python, and familiarity with relevant libraries related to Generative AI, CV & General Machine Learning / Deep Learning

Excellent analytical and problem-solving skills, with a keen eye for detail in visual data and model outputs.

Strong communication and teamwork skills, with the ability to articulate technical concepts clearly.

A strong desire to learn, adapt, and contribute in a fast-paced environment focused on innovation.

About Cognologix:

Cognologix

We are an Data focused organization helping our clients to deliver their next generation of products in the most efficient, modern and cloud-native way.