Wildlife Data Infrastructure Specialist

18 hours ago


Stockholm, Stockholm, Sweden Sting Capital Full time
Job Description

We are seeking a highly skilled AI/Data Engineer to join our team at Sting Capital. As a key member of our data infrastructure team, you will play a crucial role in designing, implementing, and optimizing the data pipelines that power our AI-driven wildlife management solutions.

  • Design and maintain scalable data architectures for collecting, processing, and storing large volumes of wildlife-related data from multiple devices and sensors.
  • Develop and manage data pipelines that support real-time processing and AI model integration across our platform.
  • Collaborate with data scientists, AI engineers, and product teams to ensure seamless integration of data pipelines with AI models for wildlife detection and classification.

Responsibilities:

  1. Data Ingestion and Processing: Design efficient data ingestion processes for handling large-scale, real-time data from IoT devices, sensors, or similar sources.
  2. Pipeline Development: Develop data pipelines using Python, SQL, and ETL frameworks (e.g., Apache Airflow, Spark) to collect, process, and store data in cloud-based storage solutions.
  3. Infrastructure Optimization: Optimize the infrastructure for both performance and scalability to handle growing data needs, utilizing cloud-based compute solutions (e.g., AWS, GCP).
  4. Model Deployment: Support the deployment and monitoring of AI models in production, ensuring data flows effectively between systems.


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