Senior AI Engineering Analyst

• Provide technical leadership in the development of advanced artificial intelligence algorithms and solutions.
• Provide technical leadership in the design, coding, and optimization of machine learning and deep learning models.
• Define data processing, analysis, and usage strategies to create scalable AI solutions.
• Ensure the integration of models with complex systems and pipelines.
• Provide technical guidance to the team on the selection of frameworks, libraries, and best practices.
• Ensure the validation, monitoring, and governance of models in production.
• Design, develop, test, and maintain machine learning solutions for production environments.
• Build data pipelines for data collection, processing, model training, validation, and monitoring.
• Develop, optimize, and implement machine learning and artificial intelligence algorithms.
• Deploy models to production using MLOps, automation, and continuous integration practices.
• Monitor the performance, accuracy, availability, and efficiency of models in production.
• Collaborate with Product, Data Engineering, Data Science, and Architecture teams.
• Perform data analysis and preparation, feature engineering, and continuous model improvement.
• Develop APIs and services to make AI and ML models available to applications and users.
• Ensure the quality, security, scalability, and governance of the solutions developed.
• Document processes, architectures, and technical procedures.
• Support the sharing of technical knowledge and best practices within the team.
• Participate in architectural decisions and the company's technological evolution.

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Mathematics, Statistics, or a related field.
• Experience developing software using Python, Java, or an equivalent programming language.
• Solid knowledge of machine learning, deep learning, and artificial intelligence algorithms.
• Experience with frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar technologies.
• Knowledge of statistics, probability, and mathematical modeling.
• Experience with SQL and NoSQL databases.
• Knowledge of microservices architecture and REST APIs.
• Experience with Docker, Kubernetes, and containerization tools.
• Experience working in cloud computing environments such as AWS, Azure, or Google Cloud Platform.
• Knowledge of Git, CI/CD, and DevOps practices.
• Experience with MLOps, monitoring, and model lifecycle management.
• Knowledge of data processing and data engineering.
• Analytical thinking and complex problem-solving skills.
• Strong communication skills and the ability to explain technical concepts to diverse audiences.
• Collaborative approach and experience working in multidisciplinary teams.
• Proactive mindset and strong sense of ownership.
• Ability to learn continuously and adapt to new technologies.
• Results-oriented approach and focus on generating business value.

• Bradesco health insurance (30% copayment)
• Bradesco dental insurance (no employee contribution)
• Life insurance
• Wellhub (formerly Gympass)
• Childcare assistance
• Assistance for children with special needs
• Payroll-deducted loan
• Private pension plan
• Pet care plan
• SESC benefits
• Conexa telemedicine
• Expense allowance
• Meal and food allowance
• Multi-benefit card
• Health insurance upgrade
• Extended maternity and paternity leave
• INMaterna Program: support program for expectant mothers
• Birth gift basket and the book “It Happened When I Was Born”
• Professional development: courses available through the internal university
• 100% remote or hybrid work, depending on project requirements