ILM UX

1. 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.

2. 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).

3. 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.

4. 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.