Senior Machine Learning Engineer
Core
Drive BEES AI's mission and ML strategy into technical roadmaps, owning end-to-end delivery of ML pipelines from architecture to production scaling.
Role type
Senior Machine Learning Engineer (ML Platform & Infrastructure)
Builds
End-to-end ML pipelines, standardized model development frameworks, and observability systems for production ML models.
Domain
B2B Commerce / Retail Technology
Deliverable
production ML models
Required skills
ML platform architecture, Python, PySpark, SQL, Systems thinking, Software design patterns, Kubernetes, Databricks, Terraform, Azure Cloud, ML Frameworks (BentoML, Kedro, Seldon, KServe, Triton), ML Libraries (Scikit Learn, PyTorch, TensorFlow, ONNX)
Preferred skills
Java, Rust, NodeJS, Master's degree
Responsibilities
Drive ML strategy and align architecture with long-term goals; Own end-to-end delivery of ML pipelines; Design and standardize ML model development frameworks; Build observability across the model lifecycle; Ensure optimized deployments minimizing cost and maximizing quality.