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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.
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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).
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Prototyping & Implementation: Help in building prototypes and integrating Generative AI, Computer Vision, ML & Automation solutions into existing systems or applications.
- Generative AI Development:
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Assist in evaluating, fine-tuning Large Language Models (LLMs), Diffusion Models for tasks like image synthesis, text generation, code generation, or data augmentation.
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Experiment with prompt engineering techniques to optimize outputs from generative models.
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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.
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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.
Application Link: https://careers.cognologix.com/jobs/i41Gx5D2HBdB/intern-aihttps://careers.cognologix.com/jobs/i41Gx5D2HBdB/intern-ai