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Data & AI Engineer - SAP
AI Engineer
Data & AI Engineer building scalable data pipelines and ML models on AWS, leveraging Python, SQL, and Spark to deliver actionable insights for enterprise customers.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end data pipelines using Python, SQL, and Apache Spark on AWS services (Glue, EMR, Redshift).
- Build and deploy production‑ready machine learning models, integrating them into data workflows and monitoring their performance.
- Collaborate with data scientists, product managers, and stakeholders to translate business requirements into technical solutions.
- Optimize data processing and model inference for cost, latency, and scalability.
- Implement robust data quality checks, documentation, and CI/CD pipelines for data and ML artifacts.
Requirements
- 3+ years of experience in data engineering or data science roles.
- Hands‑on experience building and deploying ML models (scikit‑learn, TensorFlow, PyTorch).
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
Skills
pythonmachine learningawssqlapache spark