We are seeking a skilled and motivated Machine Learning Engineer to join our innovative AGPHRteam. The ideal candidate will have hands-on experience developing and deploying machine learning models, working with video/image datasets, and leveraging cloud technologies to build scalable AI solutions. This role involves collaborating with cross-functional teams, designing data pipelines, and driving data-driven decision-making processes. Responsibilities: Develop, train, and deploy machine learning models for various applications such as detection/ classification, clustering, and recommendation systems. Design and implement scalable data pipelines and ETL processes to preprocess and analyze video/image datasets. Work closely with data scientists, software engineers, and business teams to understand requirements and deliver end-to-end AI solutions. Optimize model performance and ensure robustness through hyperparameter tuning, feature engineering, and evaluation. Deploy models into production environments using cloud platforms like AWS, Azure, or Google Cloud. Implement and maintain model monitoring systems to track performance and ensure reliability. Stay updated with the latest advancements in machine learning, deep learning, and AI technologies. Contribute to code reviews, best practices, and continuous improvement processes within the team. Required Skills: Demonstrable skills in owning Machine Learning projects in the past. Proficiency in Python and machine learning libraries like TensorFlow, PyTorch, Scikit-learn, and Pandas. Hands-on experience of YOLO/ImageNet/Bytetrack or similar models. Strong understanding of statistical concepts, data analysis, and data visualization. This document is strictly confidential Experience with cloud platforms like AWS, Azure, or Google Cloud for model deployment and data storage.