AI Engineer 2

Requirements:
3-6 years of hands-on experience in AI, Machine Learning, or NLP.
Strong programming expertise in Python.
Solid understanding of Natural Language Processing (NLP) fundamentals and Transformer architectures.
Hands-on experience in building, fine-tuning, optimising, and deploying deep learning models, including transformer-based models.
Strong foundations in Computer Science, Machine Learning, Deep Learning, and software engineering principles.
Experience with PyTorch and/or TensorFlow.
Proficiency with Hugging Face Transformers, model training pipelines, and evaluation techniques.
Experience with Large Language Models (LLMs), embeddings, Retrieval-Augmented Generation (RAG), vector databases, and prompt engineering.
Familiarity with cloud platforms (AWS, Azure, or GCP) and model deployment using Docker/Kubernetes.
Experience with version control, CI/CD pipelines, and MLOps practices.

Experience
3-6 yrs