Senior Generative AI Engineer — ML/NLP & Cloud

Infosys Limited; Charlotte (NC); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Disability Insurance

Health Reimbursement Account

401(k) plan

Insurance (Accident, Critical Illness,

Hospital Indemnity, Legal)

Job summary

Infosys Limited in the United States (Charlotte) seeks a Specialist Programmer to advance AI initiatives, including generative models, ML workflows, and cloud deployments. You will design scalable architectures, write production-grade code, and mentor teams while exploring innovative AI capabilities.

The role emphasizes collaboration with data scientists and engineers, embracing responsible AI practices, and delivering reliable production-ready solutions.

Qualifications

• Experience in developing and applying generative AI models.
• Strong understanding of ML fundamentals, DL architectures, and NLP.
• Proficiency in Python and frameworks like TensorFlow or PyTorch.
• Fine-tune pre-trained LLMs for task-specific optimization.
• Manage end-to-end AI development lifecycle from data prep to deployment.
• Collaborate with data scientists, software engineers and product managers.

Responsibilities

• Analyze user stories and design specifications for production-ready results.
• Define design specifications and create reusable assets for complex projects.
• Deliver high-quality, optimized code and build automation.
• Foster a robust technical environment and assist in testing.
• Lead knowledge transfer and prototype exploration of new tech.
• Support deployment of AI solutions for future projects.

Skills

Generative AI

ML fundamentals

Deep learning

NLP

Python

TensorFlow

LLM fine-tuning

AI lifecycle

Data preprocessing

Collaboration with data scientists

Education

Bachelor’s degree or foreign equivalent

Tools

OpenShift

AWS

GCP

Azure

Open-source tools

Coding challenge platforms

Job description

Infosys Limited in the United States (Charlotte) seeks a Specialist Programmer to advance AI initiatives, including generative models, ML workflows, and cloud deployments. You will design scalable architectures, write production-grade code, and mentor teams while exploring innovative AI capabilities.

The role emphasizes collaboration with data scientists and engineers, embracing responsible AI practices, and delivering reliable production-ready solutions.