1. Design, develop, and optimize machine learning and deep learning models.
2. Build robust, scalable software solutions integrating AI capabilities.
3. Collect, clean, and preprocess structured and unstructured data for model training.
4. Develop and maintain data pipelines, APIs, and backend services.
5. Deploy AI models and software applications using Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP).
6. Ensure high code quality, version control (Git), and adherence to best software engineering practices.Conduct testing, debugging, and performance optimization for applications and models.
7. Research and apply emerging technologies such as LLMs, NLP, and Computer Vision.
8. Ensure ethical, transparent, and secure AI implementation.
9. Collaborate with cross-functional teams — data scientists, developers, and business stakeholders — to deliver integrated AI-driven products.
10. Translate complex technical concepts into actionable insights for decision-makers.