Cientista de Dados Sênior

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cientista de Dados Sênior based in Brazil.

This is an opportunity to join a multidisciplinary team working on challenging data science and AI projects with real-world industrial <impact.You> will play a key role in keeping Machine Learning and Deep Learning solutions reliable, accurate, and effective in production.The position combines model monitoring, incident resolution, performance analysis, and continuous <improvement.You> will work across the full model lifecycle, from deployment and versioning to operational support and optimization.The environment values collaboration, technical excellence, documentation, governance, and knowledge <sharing.You> will also contribute to the evolution of AI architecture and production practices in a technology-driven organization.The role is particularly suited to someone motivated by innovation, sustainability, and building solutions that improve industrial efficiency.

Accountabilities

• Sustain, monitor, and continuously improve Machine Learning and Deep Learning models running in production environments.
• Investigate, diagnose, and resolve incidents involving models, data pipelines, and data processing workflows, taking issues through to resolution.
• Analyze model performance, accuracy, degradation, and operational behavior to identify opportunities for improvement.
• Implement enhancements to existing AI solutions and support their ongoing optimization and reliability.
• Manage the publication, updating, deployment, and versioning of machine learning models throughout their lifecycle.
• Collaborate with multidisciplinary teams to ensure the stability, scalability, and operational effectiveness of AI solutions.
• Maintain strong development practices, including code quality, documentation, version control, and governance.
• Contribute to the evolution of AI architecture and production operations, helping establish robust and maintainable practices.

Requirements

• Proven professional experience as a Data Scientist, with hands-on experience delivering and supporting AI solutions.
• Experience across the end-to-end lifecycle of Machine Learning models, including construction, training, deployment, publication, and production support.
• Advanced Python skills, including knowledge of Python best practices and relevant PEP standards.
• Strong knowledge of Machine Learning, Deep Learning, and Computer Vision.
• Practical experience with Machine Learning and Deep Learning libraries and frameworks.
• Experience supporting models in production and troubleshooting incidents related to AI models and solutions.
• Proficiency with Git and software version control practices.
• Strong analytical and problem-solving abilities, with the capacity to investigate complex technical issues and implement effective solutions.
• Ability to collaborate effectively with multidisciplinary teams and communicate technical topics clearly.
• Familiarity with modern MLOps and AI platforms such as Databricks, OpenShift, or MLflow is a plus.
• Experience with technologies such as YOLO, PyTorch, or ONNX is considered an advantage.

Benefits

• Flash Card with R$32.00 per working day for meal and food expenses, accepted at a wide range of establishments.
• R$100.00 monthly home-office allowance.
• Flexible working hours.
• SulAmérica health insurance and Bradesco dental insurance, with the possibility of adding dependents.
• Access to WellHub, TotalPass, and UniCamente wellness and health programs.
• Access to Onhappy, offering discounts on accommodation, travel, and leisure experiences.
• Guapeco pet health insurance with access to veterinary consultations, examinations, and other services.
• Employee discount and rewards program with offers across various products and services.
• Extended maternity and paternity leave.
• Profit-sharing (PLR) according to the applicable union agreement.
• Birthday day off.
• No-dress-code workplace.
• Continuous learning and professional development programs.
• Talent referral program.
• An inclusive environment open to professionals from diverse backgrounds and experiences.