Machine Learning Engineer II

Kohl's

Machine Learning Engineer at Kohl's emphasizing MLOps and cloud infrastructure for machine learning solutions. Collaborating with cross-functional teams to design, deploy, and manage scalable ML systems.

Posted 4/16/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowBigQueryCloudDockerETLGoogle Cloud PlatformJavaKubernetesPythonPyTorchScikit-LearnSparkSQLTensorflow

About the role

Key responsibilities & impact

Collaborate with Data Scientists and Engineers across the full ML lifecycle, including building and scaling ETL pipelines, deploying models into customer-facing applications, and enabling efficient model development through cloud infrastructure and tooling
Design, build, and maintain scalable machine learning infrastructure, including model serving (real-time and batch), training environments, and orchestration systems, with a focus on performance, scalability, and cost efficiency
Contribute to the roadmap for Machine Learning Engineering and Data Science tools, including developing reusable frameworks and standardized solutions to streamline model implementation
Partner with and support Data Scientists by enabling effective use of cloud-based tools and infrastructure, and providing technical expertise across the ML lifecycle
Collaborate with machine learning engineers to share knowledge, improve best practices, and foster a culture of continuous learning and development
Support development and maintain monitoring, alerting, and automated testing frameworks to ensure the reliability, performance, and integrity of data pipelines, models, and infrastructure
Develop, document, and communicate implementations and best practices across the data science lifecycle
Manage and communicate cloud infrastructure costs and budgets to project stakeholders
Stay current with GCP services and evolving best practices in Machine Learning Engineering and MLOps

Requirements

What you’ll need

Required Experience in MLOps or DevOps practices, including building and operating production ML systems using Docker, Kubernetes, CI/CD pipelines, Git-based version control, API development, model serving (batch and real-time), and automated testing frameworks
Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field
Experience working with Data Scientists to deploy, scale, and operationalize machine learning models in production environments
3+ years of experience as a Machine Learning Engineer with a proven track record of successful project delivery
In-depth knowledge of cloud platform, preferably Google Cloud Platform services, particularly Vertex AI, BigQuery and Dataproc.
Extensive expertise with CI/CD and IaC best practices
Extensive knowledge of distributed computing and big data technologies like Spark, Kubeflow, Airflow and SQL
Extensive expertise in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
Experience working in Agile environments with an emphasis on iterative development and continuous delivery
Preferred Master’s Degree
Proficiency in Java or other languages
Retail experience
E-commerce experience
5+ years of experience in Machine Learning
Experience with optimization techniques and tools (e.g., Gurobi, linear programming, mixed-integer programming)
Experience working with agent based or agentic AI systems, including orchestration of autonomous workflows or LLM-driven agents

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Kohl's Website LinkedIn All Job Openings 10,000+ employees Founded 1962 💄 Beauty ⚕️ Healthcare Insurance 🧘 Wellness Beauty
Healthcare Insurance
Wellness Kohl's is a skincare solution brand that emphasizes science in its product development. It focuses on creating effective skincare products that are formulated with proven ingredients and cutting-edge technology, like QuSome®, to enhance and rejuvenate the skin. Committed to addressing a variety of skin issues, Kohl's offers targeted treatments designed to achieve healthy and beautiful skin while ensuring high standards of effectiveness with no unnecessary extras. Machine Learning Engineer II 🔥 1 hour ago 🇺🇸 United States – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 Machine Learning Engineer Airflow BigQuery Cloud Docker ETL Google Cloud Platform Java Kubernetes Python PyTorch Scikit-Learn Spark SQL Tensorflow Apply Now Find Hiring Managers Customize resume for this job Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Collaborate with Data Scientists and Engineers across the full ML lifecycle, including building and scaling ETL pipelines, deploying models into customer-facing applications, and enabling efficient model development through cloud infrastructure and tooling
Design, build, and maintain scalable machine learning infrastructure, including model serving (real-time and batch), training environments, and orchestration systems, with a focus on performance, scalability, and cost efficiency
Contribute to the roadmap for Machine Learning Engineering and Data Science tools, including developing reusable frameworks and standardized solutions to streamline model implementation
Partner with and support Data Scientists by enabling effective use of cloud-based tools and infrastructure, and providing technical expertise across the ML lifecycle
Collaborate with machine learning engineers to share knowledge, improve best practices, and foster a culture of continuous learning and development
Support development and maintain monitoring, alerting, and automated testing frameworks to ensure the reliability, performance, and integrity of data pipelines, models, and infrastructure
Develop, document, and communicate implementations and best practices across the data science lifecycle
Manage and communicate cloud infrastructure costs and budgets to project stakeholders
Stay current with GCP services and evolving best practices in Machine Learning Engineering and MLOps 🎯 Requirements
Required Experience in MLOps or DevOps practices, including building and operating production ML systems using Docker, Kubernetes, CI/CD pipelines, Git-based version control, API development, model serving (batch and real-time), and automated testing frameworks
Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field
Experience working with Data Scientists to deploy, scale, and operationalize machine learning models in production environments
3+ years of experience as a Machine Learning Engineer with a proven track record of successful project delivery
In-depth knowledge of cloud platform, preferably Google Cloud Platform services, particularly Vertex AI, BigQuery and Dataproc.
Extensive expertise with CI/CD and IaC best practices
Extensive knowledge of distributed computing and big data technologies like Spark, Kubeflow, Airflow and SQL
Extensive expertise in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
Experience working in Agile environments with an emphasis on iterative development and continuous delivery
Preferred Master’s Degree
Proficiency in Java or other languages
Retail experience
E-commerce experience
5+ years of experience in Machine Learning
Experience with optimization techniques and tools (e.g., Gurobi, linear programming, mixed-integer programming)
Experience working with agent based or agentic AI systems, including orchestration of autonomous workflows or LLM-driven agents Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Machine Learning Engineer – Search & Retrieval Systems 🔥 19 hours ago Wizard 51 - 200 🤖 Artificial Intelligence 🛍️ eCommerce 🛒 Retail Website LinkedIn All Job Openings Machine Learning Engineer focusing on search and retrieval systems at Wizard. Designing adaptive models and integrating behavioral signals for product recommendations. 🇺🇸 United States – Remote 💵 $225k - $280k / year 💰 $50M Series A on 2021-10 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 Machine Learning Engineer 🦅 H1B Visa Sponsor ElasticSearch Python Software Engineer, Machine Learning 🔥 20 hours ago Mission Technologies, a division of HII 5001 - 10000 🚀 Aerospace 🔒 Cybersecurity Website LinkedIn All Job Openings Software Engineer developing advanced space combat power and multi-domain simulation software for HII's Mission Technologies division. Collaborating on projects that support U.S. military operations and training. 🇺🇸 United States – Remote 💵 $100k - $120k / year ⏰ Full Time 🟢 Junior 🟡 Mid-level 🤖 Machine Learning Engineer ML Engineer – AI 🔥 22 hours ago ConnectHum 1 - 10 🎯 Recruiter 🤝 B2B Website LinkedIn All Job Openings ML Engineer developing evaluation and monitoring systems for AI models in a global consulting company. Collaborating with experts to ensure model safety and performance across applications. 🇺🇸 United States – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 Machine Learning Engineer Senior Machine Learning Engineer 🕒 Yesterday Censys 51 - 200 🔒 Cybersecurity 🏢 Enterprise Website LinkedIn All Job Openings Senior Machine Learning Engineer building models and data-driven systems at Censys. Collaborating with teams to classify and enrich vast amounts of Internet data with actionable insights. 🇺🇸 United States – Remote 💵 $150k - $188k / year ⏰ Full Time 🟠 Senior 🤖 Machine Learning Engineer 🦅 H1B Visa Sponsor Cloud Python Go Machine Learning Engineer, Personalization 🕒 Yesterday Spotify 5001 - 10000 📱 Media 👥 B2C 🛍️ eCommerce Website LinkedIn All Job Openings Machine Learning Engineer building systems for personalization at Spotify. Collaborating across data science and engineering for impactful user recommendations. 🇺🇸 United States – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 Machine Learning Engineer 🦅 H1B Visa Sponsor View More Machine Learning Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

MLOpsDevOpsDockerKubernetesCI/CDAPI developmentmodel servingautomated testing frameworksPythonmachine learning libraries

Soft Skills

collaborationcommunicationtechnical expertisecontinuous learningproject delivery

Certifications

Bachelor’s degree in Data ScienceBachelor’s degree in Computer ScienceBachelor’s degree in StatisticsBachelor’s degree in Applied MathematicsMaster’s Degree