Machine Learning Engineer

4 semanas atrás

São Paulo, São Paulo, Brasil BairesDev Tempo inteiro
Overview

Join to apply for the Machine Learning Engineer - Remote Work role 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.

Machine Learning Engineer at BairesDev

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.
  • Spread a data-driven mindset and act as 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 techniques (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.
  • Understanding of 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 at-home work.
  • Flexible hours: create your own schedule.
  • Paid parental leaves, vacations, and national holidays.
  • Innovative and multicultural work environment with global Top 1% talent.
  • Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.
Additional Details
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Information Technology
  • Industries: IT Services and IT Consulting
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