AI Engineer - Pan India

About the Company

Infosys is a globally recognized consulting and IT services organization listed on the NYSE, with a workforce of more than 317,000 people. Starting from a capital base of US$250, the company has expanded into a US$18.6 billion business based on LTM Q4 FY24 revenues and now holds a market capitalization of US$74.42 billion. Over the past four decades, Infosys has played a major role in shaping India's position as a leading hub for software services talent. It was also among the early pioneers of the Global Delivery Model and was the first IT company from India to be listed on NASDAQ.

Role Overview

This role is for an AI Engineer responsible for building practical machine learning and artificial intelligence solutions. The position involves working across the model lifecycle, from data preparation and training to deployment and ongoing optimization, while partnering with cross-functional teams to deliver scalable AI capabilities.

Key Responsibilities

• Design, build, and deploy AI and machine learning models for production use.
• Create and support data pipelines used for training and inference workflows.
• Apply both supervised and unsupervised learning methods to solve business problems.
• Develop solutions using NLP, computer vision, and deep learning where needed.
• Improve model accuracy, scalability, and runtime efficiency.
• Work closely with data engineers, analysts, and product teams to deliver integrated solutions.
• Publish models on cloud environments such as AWS, Azure, or GCP.
• Track model behavior in production and carry out continuous enhancements.
• Handle data cleaning, feature engineering, and model testing/evaluation.
• Maintain clear documentation for models, workflows, and experiments.

Required Skills & Qualifications

• Strong hands-on coding ability in Python.
• Practical exposure to machine learning frameworks and libraries such as Scikit-learn, TensorFlow, or PyTorch.
• Experience working with Pandas and NumPy for data handling and analysis.
• Working knowledge of common ML methods including regression, classification, and clustering.
• Understanding of deep learning concepts and frameworks.
• Familiarity with NLP or computer vision approaches.
• Ability to deploy models through APIs or microservice-based architectures.
• Good grasp of statistics and probability fundamentals.

Eligibility

This opportunity is open to candidates with a B.C.A. in any specialization, B.Tech / B.E. in Computer Science and Engineering (CSE), Computer Science and Business System, or Information Technology, and B.Sc graduates in Computer Science and Technology or Information Technology (IT).

Additional Information

The role is based in Pune, India, and is intended for pan-India hiring. No salary, stipend, number of openings, application deadline, or start date was specified in the source.