Machine Learning Engineer

1 semana atrás


Curitiba, Brasil BairesDev Tempo inteiro

Machine Learning Engineer 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. Responsibilities Help 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 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 spread a data‑driven mindset and improve data literacy. Be a data evangelist. Qualifications 3+ years of experience with Machine Learning, data science, AI, statistics, and other related areas. Proficiency with MySQL. Proficiency in Python, R, or another major programming language. Excellent communication skills and the ability 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 (regression, classification, clustering, neural networks, feature selection, cross‑validation, the curse of dimensionality, bias‑variance trade‑off, 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. Benefits 100% remote work (from anywhere). Excellent compensation in USD or local currency if preferred. Hardware and software setup for working from home. Flexible hours: create your own schedule. Paid parental leave, 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 Industries: Technology, Information and Media, Software Development #J-18808-Ljbffr



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