Demo

AI/ML Engineer

Infosys
Infosys Salary
Austin, TX Full Time
POSTED ON 4/16/2025
AVAILABLE BEFORE 5/15/2025

Infosys is seeking AI/ML Engineer. This position will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition and Design; play an important role in creating the high level design artifacts; deliver high quality code deliverables for a module, lead validation for all types of testing and support activities related to implementation, transition and warranty; be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.


Position – AI/ML Engineer

Location – Austin, TX

Onsite/Remote/Hybrid – 100% Onsite

Job Type – FTE Hire


Experience – 8 Years.

Required Qualifications:

  • Candidate must be located within commuting distance of Austin, TX OR be willing to relocate to the area. This position may require travel to project locations.
  • 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.
  • At least 4 years of Information Technology experience
  • 3 years of experience in AI/ML development, with expertise in Generative AI and AI agents.
  • Proficiency in Python, TensorFlow/PyTorch, and Hugging Face Transformers.
  • Design, develop, and deploy AI/ML models, with a focus on Generative AI and autonomous agents.
  • Implement LLM-based AI agents, fine-tune pre-trained models, and integrate them into applications.
  • Develop and optimize multi-modal AI systems (text, image, audio, video) using state-of-the-art techniques.
  • Work with Reinforcement Learning (RL), Prompt Engineering, and Knowledge Graphs to improve AI agent capabilities.
  • Collaborate with cross-functional teams to integrate AI-powered solutions into products and services.
  • Conduct research, experiment with emerging AI frameworks, and optimize model performance.
  • Ensure scalability, efficiency, and ethical considerations in AI solutions.


Preferred Qualifications:

  • Experience with LLMs (GPT, Claude, Gemini, etc.), vector databases, and retrieval-augmented generation (RAG).
  • Strong understanding of NLP, deep learning, and model fine-tuning techniques.
  • Experience working with MLOps, cloud-based AI deployment (AWS/GCP/Azure), and containerization (Docker, Kubernetes).
  • Knowledge of prompt engineering, reinforcement learning, and AI safety principles.
  • Strong problem-solving skills, ability to work independently and collaboratively.
  • Experience with self-learning AI agents, autonomous workflows, or multi-agent systems.
  • Background in graph-based AI, symbolic reasoning, or cognitive architectures.
  • Contributions to open-source AI/ML projects or research publications in relevant domains


The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.

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.

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