Infosys

AI Specialist

Infosys$90K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in IT or related field, or equivalent experience
  • Minimum 4 years of IT Development experience
  • 2-3 years of experience with generative AI models
  • Strong knowledge of machine learning fundamentals and NLP
  • Proficiency in Python and familiarity with TensorFlow or PyTorch

Responsibilities

  • Design, develop, and deploy generative AI models for diverse applications
  • Fine-tune pre-trained LLMs to optimize performance and business alignment
  • Manage the full AI development lifecycle from data processing to deployment
  • Collaborate with teams to define project needs and integrate AI solutions
  • Stay updated on generative AI advancements and contribute to AI capability improvements
  • Champion responsible AI practices focusing on bias and fairness

Benefits

  • Opportunity to work for a global leader in digital services and consulting
  • Dynamic and fast-paced work environment
  • Collaborative culture promoting continuous improvement
  • Exposure to cutting-edge AI technologies and research
  • Travel flexibility within specified U.S. locations
Full Job Description
Job details

Job Role

Specialist Programmer

Work Location

Phoenix, AZ, Raleigh, NC, Richardson, TX

State / Region / Province

Arizona, North Carolina, Texas

Country

USA

Skills

Technology|Artificial Intelligence|Artificial Intelligence - ALL, Technology|Data Science|Machine Learning

Domain

Consulting

Interest Group

Infosys Limited

Company

ITL USA

Requisition ID

144918BR

Infosys is looking for AI Specialist Programmer who must be Polyglots with expertise in multiple technologies and who can work in fast paced complex engineering projects.

Required Qualifications:
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)
Proficiency in programming languages like Python and familiarity with deep learning frameworks like TensorFlow or PyTorch.
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.

Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time

Preferred Qualifications:
Experience in cloud-based platforms like OpenShift, AWS, GCP, Azure
Experience in Open-Source tools and technologies
Consistent score in Coding sites like Hackerrank, CodeChef etc.
Industry-acclaimed External Certifications, if applicable
Active participation in Technology forums
Contribution to Open-Source Community.
Effective collaboration and communication skills
Excellent problem-solving skills and a strong analytical mind.
Experience working in a collaborative and fast-paced environment.

The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face.

About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

About Infosys

Infosys Limited is an Indian multinational corporation that provides business consulting, information technology and outsourcing services. It has its headquarters in Bangalore, Karnataka, India. Infosys is the second-largest Indian IT company after Tata Consultancy Services by 2017 revenue figures and the 596th largest public company in the world based on revenue. On 31 March 2018, its market capitalisation was $37.32 billion. The credit rating of the company is A? (rating by Standard & Poor's).
Learn more about Infosys
Size
314,015 employees
Market Cap
$77.5 billion
Industry
Net Income
$178.5 billion
Founded
2004
5 Year Trend
+12.2%
Revenue
$945.9 billion
NASDAQ

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