Intern(Ai)

**Internship Overview**:
Are you deeply fascinated by the power of **Generative AI** to create novel content or the ability of **Computer Vision** to make sense of the visual world? We're looking for enthusiastic and talented AI Interns passionate about these cutting-edge fields to join our team. This internship offers a unique opportunity to gain hands-on experience by working on real-world projects, contributing to innovative solutions in visual intelligence and content generation, and learning from experienced professionals. You'll play a crucial role in supporting our advanced AI initiatives from data preparation to model deployment.

**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).- ** 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**helps companies disrupt by reimagining their business models and innovate like a Startup. We are at the forefront of digital disruption and take a business first approach to help meet our client’s strategic goals.
- 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.

**Minimum Experience**:

- Internship

**Top Skill**:

- Data Science, Artificial Intelligence, Machine Learning Generative AI