search Browse Jobs
AI/ML- @InfosysInfosys · Hyderabad
Infosys logo

Infosys

company page ↗

AI/ML- @Infosys

🗓️ Posted 2026-09-25 Hyderabad Full-time Hybrid ICT
💰 Salary Not shared 📊 Market ₹80,000–₹180,000/mo

About the Company

Transforming Enterprises To Become A Thriving Live Enterprise. AI-Powered. Digital Agility At Scale. Always-On Learning. 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 three 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. Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next. Information Technology & Services Specialties: IT Solutions and Services, Consulting, Business Process Outsourcing, Products and Platforms, Engineering Services, Cloud Services, Artificial Intelligence, Digital, Big Data

About the Role

Design, build, and deploy Machine Learning (ML) and Artificial Intelligence (AI) models.

Responsibilities

  • ● Develop end-to-end ML pipelines for data ingestion, preprocessing, training, validation, and deployment.
  • ● Implement supervised, unsupervised, and reinforcement learning algorithms.
  • ● Build and optimize NLP, Computer Vision, and Generative AI solutions.
  • ● Train, fine-tune, and evaluate deep learning models using large datasets.
  • ● Deploy ML models using MLOps best practices.
  • ● Monitor model performance and retrain models as needed.
  • ● Collaborate with cross-functional teams to identify AI opportunities and deliver business solutions.
  • ● Develop APIs and scalable AI applications for production environments.
  • ● Ensure data quality, security, and governance standards are maintained.

Requirements

  • ● Strong programming experience in Python.
  • ● Hands-on experience with Machine Learning Algorithms.
  • ● Hands-on experience with Deep Learning.
  • ● Hands-on experience with Natural Language Processing (NLP).
  • ● Hands-on experience with Computer Vision.
  • ● Hands-on experience with Generative AI / LLMs.
  • ● Experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn, Keras.
  • ● Knowledge of data processing tools: Pandas, NumPy, PySpark.
  • ● Experience with Vector Databases: Pinecone, FAISS, ChromaDB.
  • ● Hands-on experience with LLMs: OpenAI, Azure OpenAI, Gemini, Claude, Hugging Face.
  • ● Experience in prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning techniques.
  • ● Knowledge of REST APIs and microservices architecture.
  • ● Experience with Git, CI/CD, and software development best practices.