Here's how you'll contribute :

- Develop and implement advanced NLP models using Lang Chain, Open LLM, GANs, Autoencoders, transformers, and BERT Word/Doc to Vector.

- Create computer vision models utilizing GANs, Autoencoders, VAE, and other relevant techniques.

- Optimize and fine-tune Deep learning models to enhance performance and efficiency.

- Refactor and improve existing Python codebase for better performance and scalability.

- Collaborate with cross-functional teams to understand requirements and deliver high-quality solutions.

- Stay up-to-date with the latest research and advancements in the field of Generative AI and NLP.

- Provide technical guidance and mentorship to junior team members.

- Good Proficiency in Machin learning SK Learn, PyTorch and TensorFlow

- Ability to solution and execute end to end Generative AI Project along with AVP and team Leads

Skills required to contribute :

- Bachelor's or Master's degree in computer science, Engineering, or a related field.

- 7+ years of experience as a developer (focused in Python),7+ years of exp. in ML/DS/NLP and 4-5 years of exp. in Generative AI

- Proficiency in Lang Chain and Open LLM frameworks to perform summarization, classification, Name entity recognition, Question answering

- Strong expertise and hands on Experience in developing NLP models, including GANs, Autoencoders, transformers, and BERT Word/Doc to Vector.

- Hands-on experience in creating computer vision models with GANs, Autoencoders, VAE, etc.

- Excellent Python programming skills with a proven ability to refactor and optimize code.

- Demonstrated experience in developing end-to-end NLP Deep models.

- Strong problem-solving skills and the ability to work independently and as part of a team.

- Excellent verbal and written communication skills.

- Ability to contribute effectively to multiple teams as an individual contributor.