Python AWS AI Engineer

Infosys is a global leader in next-generation digital services and consulting, helping clients navigate digital transformation through AI, cloud, and data-led innovation. The Technology Consultant 1 will gather requirements, develop and test software, support integrations, troubleshoot live applications, and contribute to machine learning and generative AI solutions using Python and AWS.

What you'll do:

• 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

What they're looking for:

• ⦁ 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 escalate
• ⦁ Commitment to continuous learning, knowledge sharing, and fostering team development
• • 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
• • Experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering

Benefits:

• Medical/Dental/Vision/Life Insurance
• Long-term/Short-term Disability
• Health and Dependent Care Reimbursement Accounts
• Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
• 401(k) plan and contributions dependent on salary level
• Paid holidays plus Paid Time Off