Senior Machine Learning Engineer
Core
Build, maintain, and optimize machine learning systems and models in production to solve business use cases and deliver measurable value.
Role type
Senior Machine Learning Engineer (Production Systems)
Builds
Scalable machine learning systems, pipelines, and models for financial wellness and cybersecurity products
Domain
Fintech / Cybersecurity
Deliverable
production ML models
Required skills
Python, SQL, end-to-end ML system design, MLOps workflows, model monitoring and optimization, test-driven development, mentoring
Preferred skills
scikit-learn, XGBoost, LightGBM, DVC, MLFlow, Metaflow, Seldon, BentoML, AWS, Docker, Kubernetes
Responsibilities
Own end-to-end architecture and delivery of ML systems from problem framing to production; lead technical discussions with MLOps and Data Scientists; research and build robust scalable ML systems; design and monitor model experiments; maintain and optimize production solutions; enforce test-driven development best practices; mentor junior ML engineers
Seniority
Senior, hands-on IC with mentorship responsibilities