Key Responsibilities :

- Design and implement full-stack AI solutions using a variety of Machine Learning and Deep Learning algorithms.

- Develop and optimize algorithms for NLP and Computer Vision applications utilizing frameworks such as TensorFlow and PyTorch.

- Work with Large Language Models (LLMs) such as OpenAI, Gemini, or LLama to create intelligent applications.

- Leverage Azure platforms (App Service, Blob, Cosmos DB, Databricks, and Azure Machine Learning) to enhance application deployment and scalability.

- Apply algorithms rigorously to solve complex problems in AI, ensuring performance and accuracy in models.

- Build Python-based applications with frameworks like FastAPI and Django that integrate seamlessly with AI solutions.

- Collaborate with interdisciplinary teams to gather requirements and translate them into technical specifications.

- Utilize containerization (Docker) and orchestration (Kubernetes) technologies to optimize deployment workflows and enhance operational efficiency.

- Stay updated on the latest advancements in algorithms and methodologies in Machine Learning and Deep Learning