Engineer I- Software

This engineer will develop end-to-end machine learning workflows, including feature preparation, model training, batch inference, LLM applications, deployment, and operational monitoring. The team works across data engineering, analytics engineering, and AI infrastructure, using dbt Core, Databricks, Spark, Delta Lake, MLflow, and AWS services. Responsibilities also include maintaining governed data models, improving pipeline performance and cloud efficiency, and supporting CI/CD, testing, and production troubleshooting. The position suits someone with up to three years of professional experience who enjoys writing production-quality Python and SQL and working with modern data platforms. Experience with feature stores, vector databases, model drift detection, or near-real-time systems would be advantageous.