Data Specialist Engineer, ML
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Job Description
Data Engineer position focused on creating and managing data pipelines for Machine Learning solutions. Collaborating with teams and ensuring data quality and integrity in São Paulo.
Responsibilities:
- Design and optimize data pipelines (ETL/ELT);
- Ensure data quality, integrity and availability;
- Lead Data Engineering and MLOps strategies;
- Support training, inference, and monitoring of ML models;
- Mentor team members and support technical decision-making.
Requirements:
- Strong experience with machine learning and end-to-end analytical models;
- Extensive background in Data Engineering and tools such as Apache Spark, Airflow, or similar;
- Proficient in Python, Pandas, NumPy, and ML libraries such as Scikit-learn, TensorFlow, or PyTorch;
- Experience with MLOps practices (model versioning, monitoring, and retraining);
- Familiarity with Big Data ecosystems, Data Lakes, and Data Warehouses.
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