
11 - 50 employees
Founded 2005
🎯 Recruiter
🤝 B2B
📚 Education
Recruitment • B2B • Education
RHF Talentos is a Brazilian human-resources franchisor and consultancy founded in 2005 that delivers recruitment, staffing, career services and HR solutions nationwide. With over 200 franchise units in 22 states and more than 15 million people impacted, the company offers recruitment and selection, temporary staffing, intern management, assessments, training, career coaching, and franchise opportunities. RHF emphasizes quality, operational reliability and social responsibility while serving companies (B2B) and jobseekers with HR programs such as employee mental-health initiatives and employer-focused diagnostics.
🔥 5 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
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11 - 50 employees
Founded 2005
🎯 Recruiter
🤝 B2B
📚 Education
Recruitment • B2B • Education
RHF Talentos is a Brazilian human-resources franchisor and consultancy founded in 2005 that delivers recruitment, staffing, career services and HR solutions nationwide. With over 200 franchise units in 22 states and more than 15 million people impacted, the company offers recruitment and selection, temporary staffing, intern management, assessments, training, career coaching, and franchise opportunities. RHF emphasizes quality, operational reliability and social responsibility while serving companies (B2B) and jobseekers with HR programs such as employee mental-health initiatives and employer-focused diagnostics.
• Develop, train, and optimize Machine Learning models using Python • Explore, prepare, and analyze data to build analytical solutions • Apply feature engineering techniques and feature selection • Work with large volumes of data using SQL and/or Spark • Validate models using metrics appropriate to the business context • Monitor models in production, tracking data drift and model drift • Partner with business areas to identify opportunities and generate value through data
• Experience developing Machine Learning models using Python • Knowledge of data manipulation, exploration, and analysis • Experience with SQL and/or Spark • Knowledge of feature engineering and feature selection • Experience in evaluating and validating Machine Learning models • Knowledge of handling imbalanced datasets
• Analytical and investigative mindset • Curiosity and continuous learning • Ability to solve complex problems • Strong communication and collaboration skills • Results-oriented with a focus on generating impact through data
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