Machine Learning Engineer

4 semanas atrás

Caxias do Sul, Brasil BairesDev Tempo inteiro

Overview Machine Learning Engineer - Remote Work at BairesDev At BairesDev®, we’ve been leading technology projects for over 15 years, delivering cutting-edge solutions to giants like Google and startups in Silicon Valley. Our diverse 4,000+ team works remotely on roles that drive global impact. When you apply for this position, you’re taking the first step in a process that aligns your passions and skills with our vacancies, setting you on a path to exceptional career development and success. Machine Learning Engineer 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, IA, statistics, and related areas. Proficiency with MySQL. Proficiency in Python, R, or another major programming language. Excellent communication skills and the 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, bias-variance tradeoff, model explainability, NLP, etc. Experience with people analytics or growth. Experience with data visualization tools. Good understanding of the engineering challenges to deploying machine learning systems to production. How We Do 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, promotions, skill development, and diverse growth opportunities. Apply now and become part of a global team where your unique talents can truly thrive #J-18808-Ljbffr

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