Gen Al Developer

• Design, develop, and implement generative AI models using state-of-the-art techniques such as Generative Pre-trained Transformers (GPTs), Variational Autoencoders (VAEs), and Generative Adversarial Networks (GANs).
• Collaborate with cross-functional teams to define AI project goals, research requirements, and develop innovative solutions that align with overall business objectives.
• Conduct thorough research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques, and identify opportunities to integrate new methods into our products and services.
• Optimize existing generative AI models for improved performance, scalability, and efficiency.
• Prepare clear and concise documentation of generative AI models, processes, and results.
• Effectively communicate complex AI concepts and results to both technical and non-technical stakeholders.

• Bachelors/Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 1-5 years of experience in developing generative AI models using deep learning frameworks such as TensorFlow or PyTorch.
• Proven expertise in generative AI techniques such as GPTs, VAEs, and GANs.
• Strong understanding of machine learning fundamentals, including supervised learning, unsupervised learning, and reinforcement learning.
• Experience with cloud computing platforms like AWS, Azure, or GCP.
• Strong communication and collaboration skills.

Tech Stack:

Python, Javascript, PyTorch, TensorFlow, AWS/Azure/Google AI Services, NLP Libraries (NLTK, SpaCy)