Sana Commerce is looking for a Senior Data Engineer (ML/AI) to design, build, and scale data systems that power our analytics and machine learning initiatives.
Requirements
- Designing and maintaining data pipelines optimized for ML/AI workloads, including handling of large-scale, unstructured, and semi-structured data.
- Building feature pipelines and feature stores that ensure reusability and consistency of data used by machine learning models.
- Collaborating with Data Scientists and ML Engineers to understand data requirements for training, validation, and production deployment.
- Ensuring data quality, lineage, and governance meet standards required for AI/ML applications.
- Supporting MLOps practices by integrating data pipelines with model training, monitoring, and deployment workflows.
- Leveraging distributed processing frameworks (e.g., Spark, Databricks, Azure Synapse) for scalable ML data processing.
Benefits
- Hybrid flexibility β Work from our office 3 days per week and from home 2 days.
- Impact from day one β Join a scale-up where your ideas shape how global businesses operate online.
- Continuous learning β Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.
- Career growth β Expand your technical and leadership scope in a company built for long-term success.