AI Engineer

Overview

Design, build and deploy AI models, including neural networks and NLP and computer vision solutions, that move from research into scalable production applications.

What you'll do

• Design and build AI models, such as neural networks, that learn from data and mimic human cognitive functions.
• Transition research-level ML models into scalable, operational applications via APIs, microservices, or cloud platforms.
• Select, manage and train models using large datasets, including natural language processing (NLP) and computer vision tasks.
• Evaluate accuracy, debug and improve AI performance to ensure systems run efficiently.
• Work with data scientists and software engineers to align AI solutions with business objectives.

What you'll need

• Strong proficiency in Python, Java, or C++.
• How to use AI tooling to build up capability.
• Any UI/API automation framework.
• Experience with TensorFlow, PyTorch, Keras, or Scikit-learn.
• How to use MCP server.
• Proficiency in SQL, Big Data technologies, and cloud platforms such as AWS SageMaker, Azure ML, or Google Cloud.
• Expertise in machine learning, deep learning, NLP, computer vision, and algorithm development.
• Typically a Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

Details

• Location: Pune, India.
• Experience: 5 to 10 years.