
Data Infrastructure Architect
1 dia atrás
Are you passionate about crafting cutting-edge data infrastructure and machine learning pipelines?
Our top-tier US company is revolutionizing e-commerce and circular fashion, seeking a Senior Data Engineer with strong MLOps expertise to join our growing team.
Key Responsibilities- Develop and maintain robust data platforms across real-time and batch workloads.
- Build and support ML pipelines for model training, deployment, and monitoring.
- Collaborate with cross-functional teams to deliver high-performance data and ML solutions.
- Design APIs and services for data ingestion, transformation, and querying.
- Ensure the reliability of ML systems through observability and operational tools.
- 5+ years as a Data Engineer or MLOps Engineer.
- Experience with Python, Java, or Scala programming languages.
- Hands-on experience with cloud providers (GCP, AWS, Azure).
- Knowledge of BigQuery, ML frameworks (TensorFlow, PyTorch), and container orchestration (Docker, Kubernetes).
- Familiarity with Apache Kafka, Spark, or similar tools is beneficial.
- Experience with ETL, CI/CD, git, and monitoring pipelines.
- Strong communication skills and fluency in English are mandatory.
- Bachelor's or Master's degree in Computer Science or related fields.
- Full-time, 100% remote opportunity.
- Exclusive opportunity for candidates located in Brazil.
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