Careers

Technical Skills

Programming skills: Proficient in Python with libraries like TensorFlow,  PyTorch, Scikit-learn. Understanding of Machine learning algorithms and  neural  networks. Working with computer vision models and large language  models (NLP).

Data Engineering: Knowledge of data cleaning, pre-processing, feature engineering, and data pipelines. 

Cloud Computing: Familiarity with cloud platforms like AWS, Azure, or GCP for deploying AI models. 

Leadership Skills , Problem solving & learning skills:

Good communication and listening skills. Team building, defining project goals, prioritizing tasks, guiding team members, sharing knowledge and best practices.

Identifying potential issues in AI models, evaluating data quality, and troubleshooting technical challenges. 

Keeping pace with rapid advancements in the AI field, actively researching new techniques and tools.