Instituto de Pesquisas Eldorado
Instituto de Pesquisas Eldorado
Instituto de Pesquisas Eldorado ब्राज़ील का एक अनुसंधान और विकास संस्थान है, जिसकी स्थापना 1999 में हुई थी। यह संगठनों को प्रौद्योगिकी पहलों को परीक्षित उत्पादों और व्यावहारिक नवाचारों में बदलने में सहायता करता है। इसके कार्यों में दूरसंचार उत्पाद प्रमाणन, प्रयोगशाला परीक्षण और ऑटोमोटिव, स्वास्थ्य सेवा, लॉजिस्टिक्स, कृषि, ऊर्जा तथा तेल एवं गैस जैसे क्षेत्रों के लिए नवाचार परामर्श शामिल हैं। संस्थान प्रशिक्षण और शिक्षा कार्यक्रम भी विकसित करता है तथा तकनीकी क्षमताओं के विस्तार के लिए उद्योग और अनुसंधान साझेदारों के साथ सहयोग करता है।

Senior Data Analyst, Machine Learning – Hybrid Brazil

Senior Data Analyst developing Machine Learning models and optimization solutions for advanced analytics, process improvement, and decision-making at Eldorado’s R&D center.

विवरण

  • Develop, train, and deploy Machine Learning models to address practical business challenges
  • Clean, transform, and manage large datasets while maintaining data quality and integrity
  • Perform exploratory analysis and derive insights from structured and unstructured data
  • Partner with cross-functional teams to translate business needs into technical solutions
  • Build efficient, scalable data pipelines and automated workflows
  • Design predictive analytics algorithms that incorporate variables defined by business rules
  • Communicate analytical findings and recommendations clearly to internal and external stakeholders
  • Monitor developments in data science and Machine Learning to apply relevant advances
  • Create optimization models with mathematical programming, heuristics, and metaheuristics

आवश्यकताएँ

  • Bachelor’s degree in Engineering, Mathematics, Statistics, Computer Science, or a related discipline
  • Solid understanding of statistics
  • Demonstrated experience in data analysis and analytical methods
  • Professional experience using Python, including pandas, NumPy, and Matplotlib
  • Advanced English skills for collaboration with an international team
  • Master’s degree in an Exact Sciences research field is preferred
  • Knowledge of optimization methods, mathematical programming, heuristics, and metaheuristics is preferred
  • Knowledge of Machine Learning and Deep Learning algorithms and libraries, including scikit-learn, PyTorch, and TensorFlow, is preferred
  • Ability to structure complex problems and propose computational architectures to solve them

लाभ

  • People with disabilities are encouraged to apply
  • An inclusive workplace committed to equal opportunity
  • Work on meaningful projects with positive real-world impact
  • Opportunities to expand experience and apply expertise to relevant projects

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