Key Responsibilities

• Design, develop, and deploy Generative AI models and applications.

• Collaborate with cross-functional teams including data scientists, ML engineers, and product managers.

• Implement and fine-tune large language models (LLMs) and diffusion models for various use cases.

• Evaluate and optimize model performance, scalability, and reliability.

• Stay updated with the latest research and advancements in Generative AI.

• Contribute to the development of internal tools and frameworks for Gen AI experimentation and deployment.

Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field.

• Strong programming skills in Python and experience with ML frameworks such as TensorFlow or PyTorch.

• Hands-on experience with Generative AI models like GPT, DALL• E, Stable Diffusion, etc.

• Understanding of deep learning architectures including transformers and autoencoders.

• Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps practices.

• Excellent problem-solving skills and ability to work in a collaborative environment.