Key Data Infrastructure Specialist
1 semana atrás
We are seeking a senior-level data engineer with expertise in MLOps to join our growing team.
This is a full-time opportunity for candidates located in Brazil. You will be working remotely with a fast-paced US-based company leading innovations in sustainable commerce and data-driven operations.
You will design, develop, and maintain robust, scalable data infrastructure across real-time and batch workloads.
- Build and support machine learning 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.
Key Requirements:
- 5+ years as a Data Engineer or MLOps Engineer.
- Strong experience with Python, Java, or Scala.
- Hands-on with GCP (preferred), AWS or Azure.
- Experience with BigQuery, ML frameworks (TensorFlow, PyTorch), and container orchestration (Docker, Kubernetes).
Benefits include top-tier hourly rate paid in USD, long-term contract opportunity, fully remote work, and a high-impact role within a data-driven company.
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