Description

You will design, build, and deploy Generative AI solutions, including LLM-based models and RAG pipelines, to automate tasks and enhance customer interactions.

This role is on-site.

Responsibilities

• Design and develop Generative AI models using Large Language Models (LLMs) and deep learning techniques for specific business needs.
• Implement Retrieval Augmented Generation (RAG) pipelines to improve the accuracy and relevance of AI-generated content.
• Deploy and maintain AI models on the Azure cloud platform, ensuring scalability, reliability, and security.
• Evaluate and fine-tune AI models to optimize performance and align with business objectives.
• Collaborate with data scientists to preprocess large datasets and contribute to AI best practices and ethical guidelines.

Required Skills

• 5+ years of experience in software engineering or data science roles.
• Strong proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
• Hands-on experience with Large Language Models (LLMs) and building RAG pipelines.
• Proven expertise in Natural Language Processing (NLP) techniques, including text classification, sentiment analysis, and named entity recognition.
• Solid understanding of cloud computing, with specific experience deploying AI models on Azure.
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.

Key Skills

Education

Any Graduate