Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)
Core
Design, build, and deliver production ML models and components to solve complex business problems, specifically for hyper-personalized marketing and messaging experiences across omnichannel Adtech platforms.
Role type
Senior Machine Learning Engineer (Production & Infrastructure)
Builds
Scalable ML platforms, optimized data pipelines, and production-ready AI models for marketing and messaging.
Domain
Financial Services / Marketing Technology / Generative AI
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Spark, Ray, Kubernetes, AWS, CI/CD, model monitoring, data pipeline construction, distributed systems, software engineering best practices
Preferred skills
Reinforcement learning, Transformer architectures, model optimization, technical leadership, incident response planning, academic publication
Technologies
AWS, Kubernetes, Spark, Ray, PyTorch, TensorFlow, Python, Scala, Java
Responsibilities
Design and deploy ML models for real-world business problems; construct optimized data pipelines; leverage cloud architectures to scale ML models; maintain and monitor production models; collaborate on cross-functional Agile teams; ensure code quality and model governance.
Seniority
Senior, hands-on IC
