AI Product Engineer - Sunhat GmbH

Key Responsibilities

• Architect and develop end-to-end AI systems that translate compliance and sustainability requirements into actionable, evidence-backed outputs.
• Collaborate with cross-functional teams to define product requirements, prioritize features, and iterate on user feedback.
• Implement scalable ML pipelines on AWS, ensuring robust data ingestion, model training, and deployment.
• Integrate NLP techniques to extract insights from unstructured regulatory documents and sustainability reports.
• Maintain high code quality, perform unit and integration testing, and document system architecture.

Requirements

• Strong experience with Python and ML frameworks (e.g., PyTorch, TensorFlow).
• Proficiency in AWS services (SageMaker, Lambda, S3, Glue).
• Hands‑on knowledge of NLP and data engineering best practices.
• Excellent problem‑solving skills and a product‑mindset.
• Effective communication and ability to work in a fast‑paced, collaborative environment.