Senior Machine Learning Engineer
Core
Design, train, and deploy machine learning models to power marketing-focused products for major consumer brands, optimizing customer segmentation and retention.
Role type
Senior Machine Learning Engineer (Marketing/Retention)
Builds
Production ML models and scalable MLOps pipelines for marketing use cases
Domain
E-commerce / Marketing Technology
Deliverable
production ML models
Required skills
PyTorch, TensorFlow, XGBoost, Python (numpy, pandas), Spark, Ray, Dask, Airflow, GCP (Vertex AI, KubeFlow, BigQuery), A/B testing, uplift modeling, causal inference, feature engineering, CI/CD, Docker, Kubernetes
Preferred skills
Experience with transformers/LLMs, distributed training, model monitoring
Technologies
PyTorch, TensorFlow, XGBoost, GCP, Vertex AI, KubeFlow, BigQuery, Spark, Ray, Dask, Airflow, Docker, Kubernetes
Responsibilities
Design and deploy models for marketing use cases; architect and maintain scalable MLOps pipelines; drive continuous improvement via A/B testing and causal inference; collaborate with cross-functional teams to align on product goals
Seniority
Senior, hands-on IC
