- Build, train and fine tune ML models
- Develop features to improve model accuracy and outcomes.
- Deploy models into production using Docker, kubernetes and cloud services.
- Proficiency in Python, MLops, expertise in data processing and large scale data set.
- Hands on experience in Cloud AI/ML services.
- Exposure in RAG Architecture