Required Skills & Experience :

- Proven expertise in architecting, developing, and deploying LLM-based solutions, including Generative AI applications.

- 3 - 4 years of experience working in a corporate environment.

- Strong LLMOps proficiency, including prompt engineering, model evaluation methodologies, and model orchestration.

- Robust full-stack engineering experience with Python and TypeScript.

- Hands-on experience with FastAPI / Django and RESTful API development.

- Strong knowledge of SQL, database management, and cloud-native application architectures.

- Experience with Microsoft Azure cloud services and containerized deployments using Docker.

- Comprehensive experience across :

- Machine Learning

- Natural Language Processing (NLP)

- Computer Vision

- Statistical Modelling

- Data Processing Pipelines

- Data Visualization using Power BI

Key Responsibilities :

- Architect, develop, and deploy scalable LLM and Generative AI applications.

- Design and implement prompt engineering, evaluation, and orchestration workflows.

- Build robust backend services and APIs using Python, FastAPI, and Django.

- Develop full-stack solutions using Python and TypeScript.

- Deploy and manage containerized applications using Docker and Azure services.

- Develop and maintain data processing and machine learning pipelines.

- Apply ML, NLP, computer vision, and statistical modelling techniques to business use cases.

- Build interactive dashboards and data visualizations using Power BI.

- Ensure application scalability, performance, reliability, and maintainability.