Company Overview :

Infosys Limited is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation.

With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change.

We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Role Overview :

As a Python Gen AI - G specialist at Infosys, you will be at the forefront of developing and implementing cutting-edge Generative AI solutions for our clients across various industries.

You will collaborate closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to understand their needs and translate them into innovative AI-powered applications.

Your work will directly impact the way our clients leverage AI to improve their operations, enhance customer experiences, and drive business growth.

Key Responsibilities :

- Design and develop Generative AI models and applications using Python, focusing on NLP tasks such as text generation, summarization, and question answering for diverse client projects.

- Implement and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance the accuracy and relevance of generated content for specific business use cases.

- Collaborate with data scientists to preprocess and analyze large datasets, ensuring data quality and suitability for training Generative AI models for optimal performance.

- Evaluate and fine-tune pre-trained language models, adapting them to specific client requirements and industry standards to deliver tailored AI solutions.

- Deploy and monitor Generative AI models in production environments, ensuring scalability, reliability, and security for seamless integration with existing systems.

- Research and experiment with new Generative AI techniques and technologies, staying up-to-date with the latest advancements in the field to drive innovation within the team.

- Communicate technical findings and recommendations to both technical and non-technical audiences, effectively conveying the value and impact of Generative AI solutions to stakeholders.

- Contribute to the development of best practices and guidelines for Generative AI development, ensuring consistency and quality across all projects.

Required Skillset :

- Demonstrated proficiency in Python programming, with a strong understanding of data structures, algorithms, and software engineering principles.

- Extensive experience in Natural Language Processing (NLP) techniques, including text classification, sentiment analysis, and named entity recognition.

- Hands-on experience with Generative AI models, such as GPT, BERT, and Transformer architectures, and their application to real-world problems.

- Solid understanding of Machine Learning and Deep Learning concepts, including model training, evaluation, and optimization.

- Practical experience in implementing Retrieval-Augmented Generation (RAG) pipelines to improve the performance of Generative AI models.

- Excellent communication and collaboration skills, with the ability to work effectively in a team environment and present technical information clearly and concisely.

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

- Ability to adapt to different work environments and project requirements, whether working remotely, in a hybrid setup, or on-site.