Intermediate Machine Learning Engineer - Bees Data
Core
Build and operate ML platform capabilities including training jobs, inference services, and observability for the Growth Group's digital products.
Role type
Intermediate Machine Learning Engineer (ML Platform)
Builds
ML training and inference workflows, model observability pipelines, and deployment components for B2B and DTC digital products.
Domain
Consumer Goods (Beer) / Machine Learning Platform Engineering
Deliverable
production ML models | infrastructure
Required skills
Python, PySpark, SQL, Kubernetes, Databricks, Terraform, Azure Cloud, ML frameworks (Scikit-learn, PyTorch, TensorFlow, ONNX), serving tools (BentoML, Kedro, Seldon, KServe, Triton)
Preferred skills
Java
Responsibilities
Implement and extend ML platform capabilities (training, inference, batch/online serving); Develop and maintain ML model development workflow components (project structure, experimentation, versioning); Build and operate model observability (monitoring, logging, alerting for performance, quality, drift); Support optimized model deployments (scaling, resource allocation, inference tuning); Troubleshoot pipeline and serving issues.
Seniority
Intermediate, hands-on IC