Write high-quality and sustainable code in Python to develop AI solutions.

Analyze data and develop solutions using deep learning algorithms and machine learning models.

Train and optimize models using frameworks like TensorFlow or PyTorch.

Fine-tune models, adapt pre-trained models to business needs, and enhance their performance.

Ensure the security and privacy of AI models, and comply with data privacy regulations and legal requirements.

Collect, analyze, and interpret data effectively to derive meaningful insights.

Manage the deployment and scaling of AI applications on cloud platforms like AWS and Azure.

Optimize application deployment using containerization tools like Docker.

Collaborate using version control systems (Git) and effectively use project management tools.

Manage data storage and access processes with vector databases such as ChromaDB, Qdrant, or Milvus.

Design interfaces and workflows to enable effective collaboration between humans and AI systems.

Collaborate within the team on AI projects, communicate with stakeholders, and ensure timely project delivery.