Machine Learning Architect

The Machine Learning Architect role is a crucial position within our team where you will be responsible for studying and transforming data science prototypes, designing machine learning systems, and implementing cutting-edge artificial intelligence products. Your role will involve researching and implementing suitable ML algorithms, developing machine learning applications based on project requirements, and selecting appropriate datasets and data representation methods. Additionally, you will be conducting machine learning tests and experiments, performing statistical analysis, and fine-tuning systems based on test results. As a Machine Learning Architect, you will also be expected to train and retrain systems as needed, extend existing ML libraries and frameworks, and stay updated with the latest developments in the field. The ideal candidate for this position should have proven experience as a Machine Learning Architect or in a similar role, possess a strong understanding of data structures, data modeling, and software architecture, and demonstrate deep knowledge of math, probability, statistics, and algorithms. Candidates should have the ability to write robust code in Python, Java, and R, be familiar with machine learning frameworks such as Keras or PyTorch, and libraries like scikit-learn. Excellent communication skills, the capability to work effectively in a team, outstanding analytical and problem-solving abilities are essential for this role. A Bachelor's degree in Computer Science, Mathematics, or a related field is required, while a Master's degree would be considered a plus. If you are passionate about machine learning, possess the necessary skills and qualifications, and are looking to work on exciting AI projects, we encourage you to apply for the Machine Learning Architect position with us.,