Machine Learning Engineer Position We're looking for a skilled Machine Learning Engineer to join our team. This professional will utilize data and machine learning techniques to help the business automate and scale decision-making, primarily through producing advanced data analysis reports and data-based models to infer and predict patterns. The ideal candidate will have 3+ years of experience with Machine Learning, data science, IA, statistical, and other related areas. They should be proficient in Python, R, or another major programming language, as well as having excellent communication skills and capacity to collaborate and build relationships with non-technical users. Key Responsibilities: - Help to improve data literacy and the overall analytical environment across the company. - Handle both structured and unstructured data using SQL and other programming languages. - Perform advanced data analysis and report results. - Build predictive models and machine-learning algorithms. - Combine models through ensemble modeling. - Propose solutions and strategies to business challenges. - Help to design and execute experiments for hypothesis testing. - Participate actively in discussions and decisions regarding the whole Machine Learning / Data Science chapter. - Collaborate with data product managers to build awesome data products. - Work with management to prioritize business and information needs. - Help to spread a data-driven mindset and to improve data literacy. Requirements: - 3+ years of experience with Machine Learning, data science, IA, statistical, and other related areas. - Proficiency with MySQL. - Proficiency in Python, R, or another major programming language. - Excellent communication skills, and capacity to collaborate and build relationships with non-technical users. - Strong knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference. - Hands-on experience with machine learning, like regression classification, clustering, neural networks, feature selection, cross-validation, the curse of dimensionality, bias-variance tradeoff, model explainability, NLP, etc. Benefits: - 100% remote work (from anywhere). - Excellent compensation in USD or your local currency if preferred. - Hardware and software setup for you to work from home. - Flexible hours: create your own schedule. - Paid parental leaves, vacations, and national holidays. - Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent. - Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.