Job Description: We are looking for an exceptional Machine Learning Engineer to join our team at BairesDev. This professional will use data and machine learning techniques to automate and scale decision-making, producing advanced data analysis reports and data-based models to infer and predict patterns. The ideal candidate will have a strong background in machine learning, data science, and related areas, with experience in MySQL, Python, R, or other major programming languages. The role requires excellent communication skills, the ability to collaborate and build relationships with non-technical users, and a strong knowledge of probability and statistics. The selected candidate will contribute to improving data literacy and the overall analytical environment across the company. Key Responsibilities: - 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. - Tell the story behind data in a compelling manner for business people. - 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 improve data literacy. Be a data evangelist. We offer: - 100% remote work (from anywhere). - Excellent compensation in USD or your local currency if preferred. - HHardware 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.