Senior ML Engineer

📋 Description

• Design and implement scalable, fault-tolerant predictive intelligence services and features as a
• Lead the technical implementation of MLOps capabilities, including model training pipelines
• Partner with data scientists to productionize models and graduate experimental work into stable
• Drive the evolution of forecasting, scoring, and data processing services with a focus on
• Take part in on-call rotations and own the operational health of high-availability production
• Lead design reviews and code reviews, raising the quality bar across the team and mentoring

🎯 Requirements

• 6+ years of professional software engineering experience building production backend services.
• Strong proficiency in Python, with a track record of writing performant, well-tested production
• Hands-on experience operating containerized services on Kubernetes in at least one major cloud
• Experience with data warehousing or analytics technologies such as Snowflake, Iceberg, Trino, or
• Experience designing, deploying, and operating ML models in production, including familiarity with
• Demonstrated ability to work autonomously, take ownership of meaningful systems, and deliver