onsite
Manager AI & Data Engineering - Deloitte GmbH
Software Engineer
Lead AI and data engineering initiatives, driving end‑to‑end solutions with Python, ML, and cloud technologies to deliver scalable, high‑impact data products.
About the role
Key Responsibilities
- Architect and oversee end‑to‑end AI and data pipelines, ensuring performance, reliability, and scalability.
- Lead a cross‑functional team of data scientists, engineers, and DevOps specialists in delivering production‑ready ML models.
- Design and implement cloud‑native solutions on AWS, leveraging services such as S3, Redshift, SageMaker, and EMR.
- Establish best practices for data governance, security, and compliance across all projects.
- Collaborate with stakeholders to translate business requirements into technical specifications and actionable roadmaps.
Requirements
- 10+ years of experience in data engineering and AI, with a proven track record of leading large‑scale projects.
- Expertise in Python, SQL, and modern ML frameworks (TensorFlow, PyTorch, Scikit‑Learn).
- Deep knowledge of AWS services, container orchestration (Kubernetes), and CI/CD pipelines.
- Strong analytical skills, with the ability to solve complex problems and make data‑driven decisions.
- Excellent communication and leadership skills, capable of mentoring teams and influencing stakeholders.
Skills
pythonmachine learningawssqlkubernetes