Mid Level Machine Learning Engineer

About BEES At BEES, our ambition is – and always will be – to put customers at the heart of everything we do, making their lives easier and their businesses more profitable. Through our B2B e-commerce and SaaS platform, we bring the power of digital to small and medium-sized retailers, unlocking new growth opportunities for all. What you'll do: Implement and extend ML platform capabilities (training jobs, inference services, batch and online serving) following team architecture, standards, and best practices. Develop and maintain components of the ML model development workflow (project structure, experimentation, versioning, reproducibility) to improve consistency and reuse across teams. Build and operate observability for models in training and production—monitoring, logging, and alerting for performance, quality, and drift—in collaboration with platform and SRE partners. Support optimized model deployments (scaling, resource allocation, inference tuning) to meet cost, quality, and SLA targets. Troubleshoot pipeline and serving issues, document solutions, and share learnings with the team. What you'll need: Bachelor’s degree in computer science, engineering, mathematics, or another quantitative field. Practical experience with ML platform components (e.g., feature pipelines, model registries, training and inference workflows). Solid software engineering fundamentals: clean code, testing, CI/CD, and maintainable system design. Python , PySpark , and SQL . Exposure to Java is a plus. Experience with Kubernetes, Databricks, Terraform, Azure DevOps (Git), Azure Cloud , and ML frameworks/libraries such as Scikit-learn, PyTorch, TensorFlow, ONNX , and serving tools ( BentoML, Kedro, Seldon, KServe, Triton Inference Server , etc.). Comfort collaborating across teams, communicating technical tradeoffs clearly, and learning from senior engineers on architecture and platform decisions. What We Offer: Performance based bonus* Attendance Bonus* Private pension plan Meal Allowa