Machine Learning Engineer

{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"trabajo.org","value":"JOB-5710811916942413409"},"datePosted":"2026-05-22T05:49:02+02:00","validThrough":"2026-05-29T00:00:00+02:00","title":"Machine Learning Engineer","hiringOrganization":{"@type":"Organization","name":"BairesDev"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"","addressCountry":"ES"}},"description":"Overview Machine Learning Engineer - Remote Work | REF# at BairesDev. We are looking for an outstanding Machine Learning Engineer to join our team. This professional will use data and machine learning techniques to help the business automate and scale decision-making, mainly by producing advanced data analysis reports and data-based models to infer and predict patterns. What You Will Do - 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. - 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 data products. - Work with management to prioritize business and information needs. - Help to spread a data-driven mindset and to improve data literacy. Be a data evangelist. What We Are Looking For - 3+ years of experience with Machine Learning, data science, AI, statistics, and related areas. - Proficiency with MySQL. - Proficiency in Python, R, or another major programming language. - Excellent communication skills, and ability to collaborate 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, including regression, classification, clustering, neural networks, feature selection, cross-validation, the curse of dimensionality, bias-variance tradeoff, model explainability, NLP, etc. Desirable - Experience with people analytics or growth. - Experience with data visualization tools. - Good understanding of the engineering challenges of deploying machine learning systems to production. How We Make Your Work (and Your Life) Easier - 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, skill development, and diverse growth opportunities. Seniority level - Mid-Senior level Employment type - Full-time Job function - Information Technology - Industries: IT Services and IT Consulting