Data Scientist Specialist

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November 25

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Ibrowse Consultoria e Informática

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B2B • Cybersecurity • Enterprise

Ibrowse Consultoria e Informática is a Brazilian IT services firm with 26 years' experience providing robust ICT solutions that transform organizations and lives. The company specializes in software development, IT infrastructure design and deployment, service desk/outsourcing, data management and Business Intelligence, and information security. Ibrowse has delivered mission-critical systems for national clients (including IBGE census projects) and provides network, database and security support to law enforcement and electoral bodies.

201 - 500 employees

Founded 1998

🤝 B2B

🔒 Cybersecurity

🏢 Enterprise

📋 Description

• Develop, train, validate and deploy Machine Learning and Artificial Intelligence models in production environments; • Work through the full data science project lifecycle, from data collection, cleaning and preparation to modeling, evaluation and deployment; • Use tools and frameworks such as Python, TensorFlow, PyTorch, scikit-learn, pandas and numpy to develop solutions; • Implement and monitor MLOps pipelines, ensuring model scalability, reproducibility and quality; • Work with cloud computing platforms (AWS, Azure or GCP) to provision and manage processing and storage resources; • Perform queries and analyses on relational and NoSQL databases; • Apply mathematical and statistical foundations (linear algebra, calculus, probability and optimization) when building robust solutions; • Ensure best practices for versioning, documentation and monitoring of models in production; • Collaborate with multidisciplinary teams to identify opportunities for AI/ML applications and turn business needs into data-driven solutions; • Contribute to the team’s technical growth by sharing knowledge and guiding best practices in data science.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics or related fields; • Proven experience developing AI/ML solutions and deploying Machine Learning projects to production; • Advanced proficiency in Python and libraries such as scikit-learn, pandas and numpy; • Strong experience with deep learning frameworks (TensorFlow and/or PyTorch); • Experience working in cloud environments (AWS, Azure or GCP); • Knowledge of MLOps and practices for deploying, monitoring and maintaining models in production; • Experience with SQL and relational and NoSQL databases; • English for technical reading and professional-level communication; • Solid mathematical foundation: linear algebra, calculus, statistics, probability and optimization.

🏖️ Benefits

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