onsite
Team Lead - Data-Centric AI - Deutsches Krebsforschungszentrum
Software Engineer
Lead a multidisciplinary team to design, develop, and deploy AI solutions that prioritize data quality and scalability, leveraging Python, machine learning, deep learning, and AWS cloud services.
About the role
Key Responsibilities
- Architect and oversee end-to-end AI pipelines, ensuring data integrity and model performance.
- Guide a cross-functional team of data scientists, engineers, and analysts in adopting best practices for data-centric AI.
- Collaborate with stakeholders to translate business objectives into technical requirements and deliverables.
- Implement scalable solutions on AWS, optimizing for cost, performance, and security.
- Mentor team members, fostering continuous learning and professional growth.
Requirements
- 5+ years of experience in AI/ML engineering with a strong focus on data quality.
- Proficiency in Python, deep learning frameworks (e.g., PyTorch, TensorFlow), and data engineering tools.
- Hands‑on experience deploying models on AWS (SageMaker, Lambda, ECS).
- Demonstrated leadership in managing technical teams and projects.
- Excellent communication skills and a collaborative mindset.
Skills
pythonmachine learningawsdeep learning