Description

You will design, develop, deploy, and operationalize end-to-end AI/ML solutions. You own the transition of machine learning models from design to production environments.

Responsibilities

• Architect cloud-native systems for AI/ML workloads and data pipelines.
• Build and operationalize machine learning models in production.
• Apply deep learning and NLP techniques to solve complex business problems.
• Design infrastructure to support model training and inference.

Required Skills

• 10+ years of experience in software development and solution architecture.
• Deep understanding of GenAI and Large Language Models (LLMs).
• Expertise in Neural Networks, including CNN, RNN, GAN, and Transformers.
• Strong proficiency in Python.
• Hands-on experience with PyTorch, TensorFlow, and NumPy.
• Deep understanding of Natural Language Processing (NLP).
• Bachelor’s Degree in a relevant field.

Preferred Skills

• Experience designing and deploying cloud-native systems.

Key Skills

Education

Bachelor’s Degree