Remote Lead ML Engineer: Production-Ready Search & Recs

Experis-US; EE. UU.; A distancia; USD 96.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical and Prescription Drug Plans

Dental Plan

Vision Plan

Health Savings Account

Health Flexible Spending Account

Dependent Care Flexible Spending账户

Descripción de la vacante

Kroger is seeking a Lead ML Engineer to join a remote team supporting search and recommender systems across the e-commerce ecosystem. Lead end-to-end ML system architecture, define reusable platform patterns, and drive production-ready pipelines with strong observability.

The role requires 6+ years in production ML, strong Python and Spark skills, and experience with TensorFlow/PyTorch. Cloud, Docker, Kubernetes, and CI/CD expertise are essential.

Formación

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related quantitative field.
• 6+ years building and operating production ML systems with technical leadership across complex ML initiatives.
• Strong Python and distributed data processing skills, including Spark and large-scale data pipelines.
• Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, Hugging Face, scikit-learn) and training pipelines for batch/online inference.
• Production engineering experience with cloud platforms (GCP or Azure), containerization/orchestration (Docker, Kubernetes), and CI/CD practices.

Responsabilidades

• Own end-to-end ML system architecture for search and recommendation workloads, including data access, training, serving, and monitoring.
• Establish reusable platform patterns for scalable training, batch/real-time inference, deployment, testing, and continuous delivery.
• Lead modular training and inference pipelines with data loading, preprocessing, artifact management, and validation.
• Enable search and recommendation capabilities with appropriate serving strategies, APIs, and feature pipelines.
• Drive performance engineering and production readiness through profiling, load testing, capacity planning, and reliability practices.

Conocimientos

Python

Distributed data processing

Technical leadership

Educación

Bachelor's or Master's in CS/Engineering/Data Science

Herramientas

Spark

TensorFlow

PyTorch

Hugging Face

scikit-learn

Docker

Kubernetes

Descripción del empleo

Kroger is seeking a Lead ML Engineer to join a remote team supporting search and recommender systems across the e-commerce ecosystem. Lead end-to-end ML system architecture, define reusable platform patterns, and drive production-ready pipelines with strong observability.

The role requires 6+ years in production ML, strong Python and Spark skills, and experience with TensorFlow/PyTorch. Cloud, Docker, Kubernetes, and CI/CD expertise are essential.