Senior Machine Learning Engineer, Growth
Core
Architect and deploy robust infrastructure for intelligent marketing optimization systems, maturing algorithmic prototypes into high-performance production systems at global scale.
Role type
Senior Machine Learning Engineer (Growth)
Builds
Scalable microservices for predictive scoring, LLM-based orchestration frameworks, and high-throughput data pipelines for external platforms.
Domain
E-commerce / AI-driven Marketing
Deliverable
production ML models
Required skills
End-to-end ML lifecycle management, hyperscaler ecosystem expertise (AWS, GCP, Azure), modern ML frameworks (PyTorch, TensorFlow, HuggingFace), Python, PySpark, data architecture for diverse formats, CI/CD and feature store implementation.
Preferred skills
Gen AI tool adoption, bias for action, extreme ownership.
Technologies
AWS, GCP, Azure, PyTorch, TensorFlow, HuggingFace, Python, PySpark
Responsibilities
Build integration layers for visual AI pipelines processing multi-modal embeddings; Transition proof-of-concept models into resilient production microservices; Engineer high-throughput, low-latency data pipelines for 1P data; Collaborate with data scientists to improve value forecasting efficiency; Establish CI/CD processes, feature stores, and drift detection.
Seniority
Senior, hands-on IC