- Exp in developing various products / applications using Generative AI models that produce original content such as text, audio, video, graphics/images for different industry verticals

- Exp in using frameworks like Lang Chain, Llama index, Semantic Kernel

- Exp in working on concepts like RAG & Model Tuning

- 6+ years of experience in developing and deploying end-to-end AI/ML solutions in the AWS production environment.

- DevOps practices, CI/CD pipelines, and infrastructure as code facilitates seamless deployment and management of AI models in production environments.

- Proficiency in Python programming and experience with data handling, preprocessing, and model architecture design.

- Strong understanding of statistics and research skills, with the ability to apply mathematical concepts to solve complex problems.

- Demonstrated knowledge of NLP techniques and applications for text processing and analysis.

- Excellent communication skills and the ability to collaborate effectively with cross- functional teams.

- Proven track record of delivering high-quality solutions within defined timelines.

Good To Have Skills :

- Knowledge of Reinforcement Learning

- Proficiency in data visualization and interpretation aids in communicating insights from generative AI models to stakeholders effectively.

- Understanding transfer learning techniques accelerates model development and improves performance, especially with limited data.

- Awareness of regulatory requirements, ethical considerations, and privacy concerns ensures compliance and responsible use of generative AI technologies.

- Deeper expertise in GAN architectures and applications enhances proficiency in developing and optimizing generative AI models.

- Familiarity with additional generative AI libraries and frameworks like Hugging Face Transformers, OpenAI's GPT, or NVIDIA's StyleGAN provides alternative tools and approaches for model development.

Key Responsibilities Areas :

- Build various applications / products using Generative AI models capable of generating original content across various domains, including text, images, and music.

- Develop and deploy end-to-end AI/ML solutions in the AWS production environment, with a focus on generative AI models.

- Utilize NLP techniques for text representation, semantic extraction, information retrieval, entity resolution, NER, knowledge extraction, data structures, and modelling.

- Collaborate with cross-functional teams to gather requirements, design solutions, and implement models that meet business objectives.

- Conduct research and stay updated on the latest advancements in AI/ML, Large Language Models, and Generative AI.

- Work closely with stakeholders to understand their needs and translate them into technical requirements and solutions.

- Ensure the scalability, reliability, and performance of deployed AI/ML solutions on AWS cloud servers.