ILM UX Pvt. Ltd.

AI Model Development & Support : Assist in fine-tuning LLMs and building innovative, prompt-driven solutions using Azure OpenAI. Develop robust data preprocessing pipelines, focusing on data cleaning, tokenization, and normalization. Contribute to the implementation of RAG pipelines and Azure Document Intelligence solutions. MLOps & Lifecycle Management : Support the implementation and maintenance of Azure ML Pipelines, leveraging MLflow and DVC for efficient version control and experiment tracking. Assist in monitoring AI model performance using Azure Monitor and Application Insights to ensure optimal operation. Maintain and manage AI notebooks and experiments effectively within Azure AI Studio (Foundry). Collaboration & Continuous Learning : Work closely with Senior AI Engineers, Data Scientists, and teams like DataOps and PlatformOps. Actively participate in peer reviews, knowledge-sharing sessions, and documentation efforts to foster a collaborative environment. Seize every opportunity to strengthen your AI and MLOps competencies, contributing to your professional growth. Quality Assurance & Delivery Support : Ensure high code quality, adherence to documentation standards, and timely delivery of project milestones. Contribute to rigorous testing, validation, and seamless integration of AI solutions into production environments. (ref:hirist.tech)