Data & AI Engineer Energy & Computer Vision - YER

Key Responsibilities

• Design, develop and deploy computer‑vision models for energy‑related applications, leveraging deep‑learning frameworks such as TensorFlow or PyTorch.
• Build and maintain robust data pipelines and feature stores, ensuring data quality and reproducibility across production environments.
• Collaborate with cross‑functional teams to translate business requirements into technical solutions, including model evaluation, monitoring and continuous improvement.
• Implement scalable AI solutions on AWS, utilizing services like SageMaker, S3, Lambda and ECS to support high‑throughput inference workloads.
• Document model architecture, training procedures and deployment workflows, and provide technical guidance to junior engineers.

Requirements

• Strong programming skills in Python and experience with machine‑learning libraries.
• Hands‑on experience with computer‑vision tasks (image classification, object detection, segmentation) and deep‑learning frameworks.
• Proficiency in building data pipelines and working with large datasets.
• Experience deploying AI models on AWS or similar cloud platforms.
• Excellent problem‑solving skills and a collaborative mindset.