Artificial Intelligence Engineer - Generative AI

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.

(ref : hirist.tech)