Engenheiro de Dados, Machine Learning

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Serve as a technical reference in data architecture and artificial intelligence at UniScale.

• Design, develop, and enhance the infrastructure that supports data and AI-based solutions.

• Structure data pipelines and develop proprietary Machine Learning models.

• Implement MLOps practices to ensure data governance and quality.

• Provide scalable services that support intelligent products.

• Act as a technical mentor for the team.

• Foster the evolution of engineering practices, innovation, and development driven by Artificial Intelligence.

⛳️ Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or related fields.

• Strong experience in Data Engineering.

• Advanced proficiency in Python.

• Experience in modeling and managing SQL and NoSQL databases.

• Knowledge of vector databases and graph databases.

• Experience with Machine Learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.

• Experience in the development, training, deployment, and monitoring of Machine Learning models.

• Development of REST APIs to provide access to models and services.

• Knowledge of MLOps practices, including versioning, CI/CD for AI, and model monitoring.

• Experience with AI workflow orchestration tools such as N8N, Flowise, or similar.

• Familiarity with modern tools for AI-assisted development.

• Experience in Cloud environments (AWS, Azure, GCP, or similar).

• Knowledge of Docker and Kubernetes.

• Experience with microservices architecture.

• Knowledge of messaging systems such as Kafka, RabbitMQ, Redis Streams, or equivalents.

🏝️ Benefits

• Comprehensive health and wellness programs.

• Opportunities for professional development and continuous learning.

• Flexible working hours and remote work options.

• Collaborative and innovative work environment.

• Competitive salary and performance-based bonuses.