
Data Platform Architect
3 semanas atrás
We're seeking a Data Platform Architect with expertise in MLOps to join our growing team.
The ideal candidate will have strong experience designing, developing, and maintaining robust data infrastructure across real-time and batch workloads.
Responsibilities:
- Design and implement scalable data platforms using cloud-based services (GCP preferred).
- 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.
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).
- Familiarity with Apache Kafka, Spark, or similar tools is a big plus.
- Experience with ETL, CI/CD, git, and monitoring pipelines.
- Strong communication skills and fluency in English (written & spoken) is mandatory.
- Bachelor's or Master's degree in Computer Science or related fields.
We offer:
- A top-tier hourly rate paid in USD
- A long-term contract opportunity
- Fully remote work – collaborate with international teams from the comfort of your home
- A high-impact role within a data-driven, mission-oriented organization
We value innovation, collaboration, and customer satisfaction. If you're passionate about building scalable data platforms and cutting-edge MLOps solutions, we encourage you to apply.
This is a full-time opportunity exclusively for candidates located in Brazil.
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