[Remote] Sr./Staff Machine Learning Engineer

Oscilar is seeking a Senior/Staff Machine Learning Engineer to build, deploy, and maintain the ML infrastructure for its AI-powered risk decisioning platform. In this role, you will scale existing ML systems, build automated pipelines, and partner with data scientists to enable low-latency production deployment. You will also set ML engineering standards and own production reliability for real-time, business-critical decisions.

• Scale and optimize existing ML systems, including feature stores, model serving, and orchestration pipelines.
• Build reproducible, automated ML pipelines for model training, deployment, and monitoring.
• Design and implement new components of the ML stack with a focus on scalability, modularity, and developer experience.
• Set ML engineering standards, define best practices, and mentor teammates.
• Own production reliability for ML systems serving real-time decisions.

• 4+ years of experience building and maintaining production ML infrastructure.
• Strong software engineering fundamentals and experience designing distributed systems.
• Hands-on experience with the full ML lifecycle in production, including feature engineering, serving, monitoring, and retraining.
• Proficiency in Scala and Python, with hands-on experience using Spark and Flink.
• Experience operating systems at scale, including performance tuning, observability, and incident response.