Infosys is actively looking for a Gen AI Python Engineer to join their Data and Analytics (DNA) unit and lead large-scale machine learning transformations. This role is perfect for engineers who want to bridge the gap between complex business challenges and cutting-edge LLM-based solutions.
The Role: What You’ll Be Doing
You won’t just be writing code at Infosys. You’ll be building the brainpower behind their next-generation analytics platform. As a Data Science Consultant, your daily workflow involves everything from cleaning messy datasets to deploying production-ready Generative AI models.
Key responsibilities include:
- Model Development: Creating advanced forecasting models and LLM-based solutions tailored to specific business needs.
- Scaling AI: Moving models from experimental notebooks into scalable, production-ready environments.
- Engineering Excellence: Standardizing code, performing rigorous testing, and optimizing algorithms for performance and reliability.
- Thought Leadership: Creating innovative IP, contributing to research papers, and training your team on emerging AI trends.
Technical Skills You Need
Infosys is looking for someone who understands the entire AI lifecycle. You need more than just Python knowledge; you need to understand the architecture that makes AI sustainable.
- Core Stack: Deep proficiency in Python and familiarity with R or SAS.
- Gen AI: Hands-on experience with LLMs and agentic frameworks.
- Cloud Infrastructure: Practical knowledge of Azure or GCP and their specific AI/ML service suites.
- Preferred Extras: If you have worked with Big Data tools like BigQuery or Hadoop, or if you understand MLOps pipelines (SageMaker, Snowflake, CI/CD), you’ll be at a distinct advantage.
Why Join the Infosys DNA Team?
The Data and Analytics unit isn’t a siloed department. It’s the engine room for the company’s digital transformation efforts globally. You’ll be working alongside industry experts on high-impact projects that change how global enterprises operate. Beyond the technical challenge, Infosys offers a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan, and a focus on continuous learning.
Eligibility and Important Notes
Before applying, ensure you meet the baseline requirements:
- Education: A Bachelor’s degree in a relevant field or a combination of progressive professional experience.
- Work Authorization: Important: This position is for candidates already authorized to work in the United States without employer sponsorship. Infosys will not provide visa sponsorship for this role.
- Flexibility: Be prepared for potential project-based travel or relocation.
Frequently Asked Questions
What is the primary qualification required for this role?
You need at least a Bachelor’s degree or equivalent in a relevant field. If you lack the degree, Infosys will consider three years of professional experience in the specialty for every year of missed education.
Does this role require visa sponsorship?
No. This specific position requires you to be authorized to work for any employer in the United States without sponsorship, now or in the future.
How do I apply for this position?
You can apply directly through the official Infosys LinkedIn job portal. Make sure your resume highlights your specific experience with LLMs, cloud platforms, and production-level AI deployment.