Senior Machine Learning Engineer / MLOps (Stone)

Act as a bridge between the Data Science team and the production environment. Create, architect, and maintain large-scale Machine Learning systems and pipelines, ensuring they are efficient, scalable, and low-latency. Define serving strategies and create inference APIs using FastAPI and Databricks. Build scalable data processing pipelines using PySpark and Apache Kafka.

Strong experience in Software Engineering and System Design, including clean code practices, system architecture documentation, and CI/CD pipeline creation for ML. Proficiency in MLOps, particularly with Databricks, MLflow, and feature store management. Experience with backend development, DevOps, or SRE roles is a plus.

The company offers a fixed salary along with a variable compensation package that may include PLR, ILP, or commission based on eligibility. Health and dental insurance with co-participation, a virtual health service available 24/7, and various allowances such as meal and childcare support are included.