Apply on Employer Site

Infosys · 4 weeks ago

AI Specialist

Phoenix, AZ

Full-time

Onsite

Mid Level

4+ years exp

Infosys is a global leader in next-generation digital services and consulting. They are seeking an AI Specialist Programmer who can work on complex engineering projects and has expertise in multiple technologies, particularly in developing generative AI models.

ConsultingInformation ServicesInformation TechnologyIT ManagementSoftware

No H1B

Responsibilities

Design, develop, and deploy generative AI models for various applications, such as text generation, image creation, and code synthesis (depending on the specific focus of the company)

Fine-tune pre-trained LLMs for specific tasks and domains, ensuring optimal performance and alignment with business goals

Manage the entire AI development lifecycle, from data pre-processing and model training to evaluation, optimization, and deployment

Collaborate with data scientists, software engineers, and product managers to define project requirements, ensure technical feasibility, and integrate AI solutions seamlessly

Stay up to date on the latest advancements in generative AI research and actively contribute to the continuous improvement of our AI capabilities

Champion responsible AI development practices, focusing on bias mitigation, fairness, and explainability

Qualification

Generative AI modelsMachine LearningDeep LearningNatural Language ProcessingPythonTensorFlowPyTorchCloud platformsAnalytical skillsCollaboration skillsProblem-solving skills

Required

Candidate must be located within traveling distance of Richardson, TX or Raleigh, NC or Phoenix, AZ or be willing to relocate to the area

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. Bachelor's / Master's in AI will be an advantage

Min 4 years of IT Development experience

2-3 years of experience in developing and applying generative AI models

Strong understanding of machine learning fundamentals, deep learning architectures, and natural language processing (NLP)