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Há 23 horas
Senior Data Engineer OpportunityWe are seeking a highly skilled Senior Data Engineer with expertise in MLOps to join our growing data engineering team.
This is a full-time, remote opportunity for candidates located in Brazil.You will work with a fast-paced US-based company, driving innovations in sustainable commerce and data-driven operations.Key Responsibilities:Design, develop, and maintain robust, scalable data infrastructure across real-time and batch workloads.Build and support ML pipelines for model training, deployment, and monitoring.Collaborate cross-functionally with data scientists, engineers, and product teams to deliver high-performance data and ML solutions.Develop APIs and services for data ingestion, transformation, and querying.Ensure the reliability of ML systems through strong observability and operational tools.Contribute to architectural decisions and mentor team members.Requirements:5+ years as a data engineer or MLOps engineer.Strong experience with Python, Java, or Scala.Hands-on experience with GCP preferred, AWS or Azure experience also considered.Familiarity with BigQuery, ML frameworks (TensorFlow, PyTorch), and container orchestration (Docker, Kubernetes).
Experience with ETL, CI/CD, Git, and monitoring pipelines.Strong communication skills and fluency in English (written and spoken) is mandatory.Bachelor's or Master's degree in Computer Science or related fields.Why This Role?
This is an exceptional opportunity to work on cutting-edge projects, collaborate with talented professionals, and contribute to the growth of our data engineering team.
If you are passionate about data-driven innovation and possess the required skills, we encourage you to apply.
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