Senior Machine Learning Engineer
Core
Building production ML systems for identity resolution and customer segmentation at scale, serving consumer brands.
Role type
Senior Machine Learning Engineer (MLOps & Architecture)
Builds
Production ML systems, automated retraining pipelines, real-time/batch feature pipelines, and monitoring solutions.
Domain
Customer Data Platform (CDP), Identity Resolution, AI/ML
Deliverable
production ML models
Required skills
Python, ML frameworks (XGBoost, PyTorch, PySpark), ML deployment patterns, model serving, feature engineering, monitoring/observability, Kubernetes, Docker, Terraform, Apache Spark, Presto, Kafka, MLflow, functional programming (Clojure)
Preferred skills
AI coding assistants (Claude Code), mentoring, incident response, SLO establishment
Technologies
Apache Spark, Presto, Kafka, MLflow, Kubernetes, Terraform, Clojure, PyTorch, PySpark, XGBoost, Docker
Responsibilities
Design CI/CD pipelines and deployment architecture for ML systems; Build automated retraining pipelines with drift detection; Design real-time and batch feature pipelines; Improve model inference latency; Establish SLOs and operational standards for production ML.
Seniority
Senior, hands-on IC with mentorship
