Python AWS AI Engineer

Overview

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.

• Assist in conducting targeted interviews and workshops to capture user needs, and ensure accurate documentation of stakeholder requirements
• Participate in design discussions to capture software specifications, and aid in creation of process documentation.
• Develop, refine, and document code for new software applications, following detailed design specifications to meet user requirements
• Execute test plans, analyse outcomes, and report defects to the development team, to facilitate enhancement of software performance
• Support the integration of new software features, facilitating smooth transitions within the existing system infrastructure
• Monitor and troubleshoot live applications, ensuring prompt resolution of issues and creation of comprehensive documentation for ongoing system maintenance
• Systematically document coding practices, testing methodologies, and technical solutions, thereby enriching team's knowledge repository

• An agile mindset with effective communication and problem-solving skills.
• The ability to work on majority of the areas as part of SDLC lifecycle
• Passion for innovating solutions that drive progress and meet future challenges.
• A proactive approach to monitoring and resolving production issues before they escalated.
• Commitment to continuous learning, knowledge sharing, and fostering team development

• Experience in Python and ML libraries (e.g., Tensor Flow, 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 Sage Maker 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.
• Experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering.
• Experience in understanding quantitative/statistical/ML/AI modeling methodologies.
• Experience with ML engineering, including hands-on experience with Generative AI/LLMs.

• Experience in building and maintaining scalable data pipelines and APIs to support ML workflows.
• Knowledge of data privacy and security best practices in cloud environments.
• Familiarity with containerization (Docker) and container orchestration is a plus.

• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• All applicants authorized to work in the United States are encouraged to apply.

Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:

• Long-term/Short-term Disability
• Health and Dependent Care Reimbursement Accounts
• Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
• 401(k) plan and…