Machine Learning Engineer

Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.4+ years of hands-on ML development experienceProficiency in at least some of the ML areas and frameworks, including:Supervised learning (classification, regression, …)Unsupervised learning (clustering, anomaly detection, …)Time-series analysisNatural Language Processing (NLP)Computer Vision (CV)Statistical modelingAbility to understand and apply different models to real-world use casesHands-on experience with DS and ML solutions in production environmentsStrong understanding of data cleaning and wrangling, feature engineering, model optimization, and evaluation metricsProficiency in Python and its common data science libraries (e.g., Pandas, NumPy, Scikit-learn)