Python AI Engineer: AWS GenAI & ML Ops

Infosys Limited; Raleigh (NC); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Disability insurance

Education assistance

Job summary

Infosys is seeking a Technology Consultant 1 in the United States to join the Delivery domain. You will run targeted interviews, help design software specs, and code new applications, focusing on ML/AI and scalable cloud deployments.

The role requires collaboration with teams across banking, wealth, and insurance sectors, driving AI-powered solutions with a strong emphasis on quality and reliability. You will work in a fast-paced, agile environment, contributing to data pipelines, model

Qualifications

• Experience in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience in design, develop, and fine-tune ML models incl. LLMs and generative AI.
• Experience with AWS services, esp. Bedrock, S3, EC2, Lambda; ML Ops practices.
• Experience with SageMaker for model development/deployment.
• Experience with developing AI Agents for business problems.

Responsibilities

• Assist in targeted interviews/workshops to capture user needs and document requirements.
• Participate in design discussions to capture software specs and create process docs.
• Develop, refine, and document code for new applications per design specs.
• Execute tests, analyze results, report defects to enable performance improvements.
• Support integration of new features and ensure smooth transitions in the system.

Skills

Python

ML libraries

TensorFlow

PyTorch

scikit-learn

LLMs

Generative AI

AWS SageMaker

AWS Bedrock

Prompt engineering

ML Ops

Education

Bachelor's degree

Tools

Docker

Job description

Infosys is seeking a Technology Consultant 1 in the United States to join the Delivery domain. You will run targeted interviews, help design software specs, and code new applications, focusing on ML/AI and scalable cloud deployments.

The role requires collaboration with teams across banking, wealth, and insurance sectors, driving AI-powered solutions with a strong emphasis on quality and reliability. You will work in a fast-paced, agile environment, contributing to data pipelines, model