Data Infrastructure Specialist
We are seeking an experienced data infrastructure specialist to design, develop and maintain robust and scalable data infrastructure across real-time and batch workloads.
* Develop, implement and support ML pipelines for model training, deployment and monitoring.
* Collaborate with cross-functional teams to deliver high-performance data and ML solutions.
Tech Requirements:
* 5+ years of experience in data engineering or MLOps engineering.
* Strong programming skills in Python, Java or Scala.
* Familiarity with BigQuery, ML frameworks (TensorFlow, PyTorch) and container orchestration (Docker, Kubernetes).
* Experience with Apache Kafka, Spark or similar tools is a plus.
Benefits:
* Opportunity to work on complex data infrastructure projects.
* Cross-functional collaboration with data scientists, engineers and product teams.
* Possibility to learn from experts in the field.
About the Role:
* Design and develop data infrastructure components using cloud-based technologies.
* Ensure scalability, reliability and performance of data systems.
* Maintain and improve existing data infrastructure.