Python GenAI

A day in the life of an Infoscion

• As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight.

• You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise.

• You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design

• You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organization’s financial guidelines

• Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers.

If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

• Develop, test, and maintain Python-based applications and scripts.
• Support AI/ML model development, training, testing, and deployment activities.
• Work on data preprocessing, cleaning, validation, and transformation for AI use cases.
• Assist in integrating machine learning models with web applications or backend services.
• Participate in debugging, troubleshooting, and performance improvement of applications.
• Write clean, reusable, and efficient code following coding standards.
• Document technical solutions, workflows, and learnings.
• Stay updated with emerging trends in AI, Generative AI, Python frameworks, and automation.
• Contribute to proof of concepts (POCs), internal tools, and innovation initiatives.

• Exposure to Deep Learning basics
• Familiarity with TensorFlow / PyTorch
• Understanding of LLMs / Generative AI / Prompt Engineering
• Awareness of Flask / FastAPI
• Understanding of model deployment concepts