Requirements

Expected technologies

Microsoft Azure

Our requirements

• Strong understanding of LLM architectures and expertise in fine tuning pre trained models on domain specific data.
• Experience with RAG (Retrieval Augmented Generation), Prompt Engineering concepts and fundamentals (Vector DBs).
• In depth knowledge of machine learning, deep learning, and NLP. Manage prioritization and technology work for building NLP, ML & AI solutions experience in experimenting and developing with LLM.
• Follow AI best practices, ensuring fairness, transparency and accountability in AI model and system.
• Good exposure in Python and strong knowledge in SQL, GitHub. Be familiar with CI/CD pipelines.
• Cloud Platforms knowledge must: Azure /GCP.
• Strong communication/presentation skills in English, can present technical solutions, capabilities, considerations, and features to business parties.

Your responsibilities

• Design, test, and optimize prompts for LLMs to achieve high-quality outputs across various use cases.
• Fine-tune pre-trained models using domain-specific data to improve accuracy and contextual understanding.
• Develop and implement solutions using Retrieval-Augmented Generation (RAG) and manage vector databases.
• Lead or contribute to the design and development of NLP, ML, and AI systems.
• Apply AI best practices to ensure fairness, transparency, and accountability in AI models and applications.
• Collaborate with cross-functional teams to align technical efforts with business goals.
• Write and maintain code in Python and work with tools like SQL, GitHub, CI/CD pipelines for effective development and deployment.
• Work with cloud platforms (Azure, GCP) for development, deployment, and scaling of AI models.