Senior Python AI Engineer — AWS & Generative ML

Infosys

Plano (TX)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Medical/Dental/Vision/Life Insurance
401(k) plan
Paid holidays plus Paid Time Off

Job summary

Infosys is seeking a Technology Consultant 2 to drive AI/ML initiatives in the Financial Services sector from Plano, TX. You will document requirements, guide design choices, implement features, and ensure code quality across banking and insurance solutions.

The role emphasizes end-to-end SDLC, production support, and collaboration with cross-functional teams. A Bachelor's degree and US work authorization are required.

Qualifications

  • Bachelor’s degree or foreign equivalent required.
  • Experience in Python and ML libraries required.
  • Experience with AWS SageMaker, Bedrock, and Lambda preferred.

Responsibilities

  • Contribute to requirements elicitation and document business requirements.
  • Facilitate design discussions and document decisions for development teams.
  • Participate in coding and integrate new features while maintaining stability.
  • Conduct code reviews and maintain repositories.
  • Implement test strategies and coordinate bug fixes.
  • Develop user training, documentation, and support frameworks.
  • Resolve production issues and improve system reliability.
  • Maintain detailed records to enrich knowledge base for similar projects.

Skills

Python
ML libraries
TensorFlow
PyTorch
scikit-learn
LLMs
Generative AI
AWS
SageMaker
Bedrock
Prompt engineering
ML Ops
Data pipelines
Docker
Container orchestration
Security best practices

Education

Bachelor’s degree in related field

Tools

Docker
APIs

Job description

Infosys is seeking a Technology Consultant 2 to drive AI/ML initiatives in the Financial Services sector from Plano, TX. You will document requirements, guide design choices, implement features, and ensure code quality across banking and insurance solutions.

The role emphasizes end-to-end SDLC, production support, and collaboration with cross-functional teams. A Bachelor's degree and US work authorization are required.

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