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Senior Data & AI Engineer Technical Lead - SAP
AI Engineer
Lead a high‑impact data and AI team, architecting scalable pipelines and ML solutions on AWS, Spark, and Kubernetes to drive business insights and automation across multiple industries.
About the role
Key Responsibilities
- Architect and oversee end‑to‑end data pipelines, ensuring high quality, performance, and scalability using Python, Spark, and SQL.
- Design, develop, and deploy machine learning models that solve complex business problems, leveraging AWS services such as SageMaker, Lambda, and S3.
- Lead a cross‑functional team of data engineers and data scientists, providing mentorship, code reviews, and technical guidance.
- Implement CI/CD workflows with Kubernetes and GitOps practices to streamline model and pipeline deployment.
- Collaborate with product, analytics, and infrastructure stakeholders to translate business requirements into technical solutions.
Requirements
- 10+ years of experience in data engineering and AI, with a proven track record of delivering production‑grade solutions.
- Deep expertise in Python, SQL, Apache Spark, and AWS cloud services.
- Strong knowledge of Kubernetes, containerization, and CI/CD pipelines.
- Excellent communication skills and ability to lead technical discussions across teams.
- Experience with MLOps practices and model monitoring at scale is a plus.
Skills
pythonmachine learningawsapache sparkkubernetessql