I have a deep understanding of Machine Learning algorithms and their implementation. I am proficient in Python, which is widely used in the ML community. Additionally, I have experience deploying ML models using AWS services, specifically setting up APIs and inference endpoints. This combination of ML knowledge and deployment expertise allows me to quickly and effectively deploy ML models over AWS and access them via API endpoints.
I have a strong familiarity with famous ML models for chat, celebrity, and character talk, as mentioned in the job description. My experience includes implementing ML algorithms for projects such as Disease Risk Prediction and gaining knowledge of Machine Learning and Deep Learning algorithms during my internship. This familiarity enables me to work with the specific ML models required for the given task.
As an entry-level ML engineer, I am eager to learn and grow in this field. I am motivated to take on regular tasks and challenges, continuously improving my skills and knowledge. I approach problems with a proactive mindset, seeking innovative solutions and staying up to date with the latest developments in ML and AWS technologies.