Python AWS AI Engineer

About the role

The Infosys Financial Services unit is a global leader in driving digital transformation for financial institutions. We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to help our clients accelerate growth and unlock business value. Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer experiences, and achieve operational excellence. Join us to be part of a pioneering team that is at the forefront of financial services transformation. You'll have the opportunity to work with cutting-edge AI technologies, collaborate with industry experts, and contribute to transformative projects across banking, wealth management, and insurance sectors. If you're passionate about AI and eager to make a significant impact, the Infosys Financial Services unit is the perfect place for you to grow and excel.

Responsibilities

• Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
• Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
• Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
• Conduct code reviews, do changes to the codebase and maintain code repositories
• Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
• Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
• Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
• Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects

Requirements

• Experience in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience in Design, develop, and fine-tune machine learning models, particularly those involving LLMs and generative AI.
• Experience with AWS services, especially Bedrock, S3, EC2, and Lambda
• Familiarity with ML Ops practices and tools for model deployment and monitoring.
• Experience with AWS SageMaker for model development and model deployment.
• Experience with developing and deploying AI Agents for business problems.
• Experience in optimizing and adapt prompt engineering strategies to improve model performance and relevance.