Machine Learning Engineer
Saurabh AggarwalUnited StatesSENIORPosted 10d ago
PythonSparkTensorFlowPyTorchHugging Facescikit-learnGCPAzureDockerKubernetesCI/CDAPIsDatabricksLinux
About the Role
Relevancy Sciences is seeking a hands-on Senior ML Engineer consultant to build, optimize, deploy, and operate production machine learning systems across search and recommender use cases for Kroger’s e-commerce ecosystem.
Key Responsibilities
• Build, optimize, deploy, and operate production machine learning systems
• Create reusable pipeline and serving components
• Partner with Data Science and Engineering to move models from development into production
• Develop and operate machine learning capabilities for search and recommender systems
Requirements
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field
• 4+ years of experience building and operating production machine learning systems
• Strong Python and distributed data processing skills with Spark
• Experience with deep learning or machine learning frameworks
• Hands-on experience with training pipelines, inference systems, and model-serving APIs
• Experience with cloud platforms and containerization using Docker and Kubernetes
• Understanding of APIs, distributed systems, model lifecycle management, and production reliability