Engenheiro de Machine Learning
Core
Transform data science projects into efficient machine learning models, develop and improve model pipelines, and research/optimize algorithms for production.
Role type
Senior Machine Learning Engineer (GCP/Vertex AI)
Builds
Production ML models, optimized algorithms, and data pipelines for client projects
Domain
Data Science & Machine Learning
Deliverable
production ML models
Required skills
Vertex AI ecosystem, Python, TensorFlow, SQL, NoSQL, Docker, Kubernetes, REST APIs, CI/CD, MLflow
Preferred skills
PySpark, R, GenAI/LLM tuning, Google Cloud Professional Machine Learning Engineer certification
Technologies
Vertex AI, GCP, TensorFlow, Docker, Kubernetes, Jenkins, Git, MLflow, MongoDB
Responsibilities
Study and transform data science projects into efficient ML models; Develop and improve model pipelines (development, deploy, monitoring); Research and implement ML algorithms and tools; Validate data selection and representation methods; Develop and validate control and monitoring of algorithms in production; Research and develop optimization, deep learning, and robotics algorithms
Seniority
Senior, hands-on IC
