Engenheiro de Dados - ML Especialista
New
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonApache AirflowETLMachine LearningNumpyPyTorchData engineeringPandasSparkTensorflowscikit-learnMLOps
Requirements
- Strong experience in Machine Learning concepts and end-to-end model development.
- Advanced expertise in data engineering, including ETL/ELT pipeline design and optimization.
- Proficiency in Python and data/ML libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Hands-on experience with big data ecosystems, including data lakes and data warehouses.
- Solid knowledge of MLOps practices such as model deployment, monitoring, versioning, and retraining pipelines.
- Experience working with distributed processing frameworks such as Apache Spark and workflow orchestration tools like Airflow.
- Strong analytical thinking, problem-solving ability, and experience working in complex data environments.
- Ability to mentor others and contribute to technical leadership in multidisciplinary teams.
Responsibilities
- Design, build, and maintain scalable data pipelines (ETL/ELT) to support Machine Learning workflows in production environments.
- Ensure data quality, integrity, and availability across all stages of ML model training and inference processes.
- Develop and optimize big data architectures using technologies such as Apache Spark, Airflow, and related frameworks.
- Implement and improve MLOps practices, including model versioning, monitoring, retraining, and deployment automation.
- Collaborate with data scientists and engineering teams to support end-to-end development of machine learning models.
- Define and evolve data engineering and ML infrastructure strategies, ensuring scalability and performance.
- Mentor team members and contribute to technical leadership in data engineering and MLOps best practices.
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