onsite
AI Architect - Hessisches Ministerium der Finanzen
Software Engineer
Lead the design and implementation of AI solutions, driving end‑to‑end machine learning pipelines on cloud platforms, while ensuring scalability, security, and compliance across financial data systems.
About the role
Key Responsibilities
- Architect and develop scalable AI/ML solutions using Python and deep learning frameworks.
- Design and maintain end‑to‑end data pipelines, ensuring data quality and governance.
- Deploy models on AWS, leveraging services such as SageMaker, Lambda, and ECS.
- Implement containerization and orchestration with Docker and Kubernetes for production workloads.
- Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical specifications.
- Ensure compliance with data protection regulations and internal security standards.
Requirements
- Proven experience as an AI/ML architect or senior data engineer.
- Strong proficiency in Python, TensorFlow/PyTorch, and SQL.
- Hands‑on expertise with AWS services (SageMaker, EC2, S3, IAM).
- Experience with containerization (Docker) and orchestration (Kubernetes).
- Excellent problem‑solving skills and ability to communicate complex concepts to non‑technical stakeholders.
Skills
pythonmachine learningawskubernetesdeep learning