Cientista de Dados Sênior in Brazil at Jobgether

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.

• 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.

• 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.

• 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.