We are looking for an AI Engineer to design, build, and deploy production-grade AI solutions using Azure and Databricks. The ideal candidate will have experience with Azure Cloud ecosystem, MLOps tooling, and programming in Python and SQL.
Requirements
- Bachelor's or master's degree in computer science, Software Engineering, or a highly quantitative field.
- 3+ years of hands-on experience with Azure Cloud ecosystem.
- Proven experience with MLflow, Docker, and Kubernetes or any other MLOps toolset.
- High proficiency in Python and SQL.
- Deep understanding of software development patterns, API design, and unit testing for ML components.
- Strong knowledge of real-time vs. batch inference patterns and how to monitor for model drift and data skew in production.
- Experience with data engineering on Databricks, PySpark, SQL, or data architecture will be a plus.
Benefits
- Challenging and rewarding career
- Highly motivated and skilled co-workers globally
- Supportive culture where effort counts
- Learning opportunities