Machine Learning Engineer

Há 5 dias

Região Geográfica Intermediária de Juiz de Fora, Brasil BairesDev Tempo inteiro

Join us as the Machine Learning Engineer - Remote Work at BairesDev . BairesDev® has led technology projects for over 15 years, delivering cutting‑edge solutions to giants like Google and Silicon Valley startups. Our diverse team of 4,000+ world‑class talent works remotely, driving significant impact worldwide. This role will use data and machine learning techniques to automate and scale decision‑making, primarily 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 additional 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. Here’s what we are looking for: 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 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 (regression, classification, clustering, neural networks, feature selection, cross‑validation, the curse of dimensionality, bias‑variance tradeoff, model explainability, NLP, etc.). Experience with people analytics or growth. Experience with data visualization tools. Good understanding of engineering challenges for 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 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. Seniority Level Mid‑Senior level Employment Type Full‑time Job Function Information Technology Technology, Information and Media and Software Development Apply now and become part of a global team where your unique talents can truly thrive #J-18808-Ljbffr

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