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Kohl's — AQShdagi chakana savdo kompaniyasi bo‘lib, butun mamlakat bo‘ylab do‘konlar tarmog‘ini onlayn xarid platformasi bilan birlashtiradi. Uning mahsulot assortimentiga kiyim-kechak, uy-ro‘zg‘or buyumlari, go‘zallik mahsulotlari va kundalik ehtiyojlar uchun boshqa tovarlar kiradi. Kompaniya Sephora bilan hamkorligi doirasida Kohl’s do‘konlarida Sephora go‘zallik mahsulotlarini ham taklif etadi. Kompaniya faoliyati mijozlarga xizmat ko‘rsatadigan chakana savdo bilan cheklanmay, taqsimlash markazlari, kredit va qo‘ng‘iroqlar markazi jamoalari, dizayn hamda korporativ funksiyalarni ham qamrab oladi. Shu bois Kohl's kompaniyasidagi ish imkoniyatlari ko‘p kanalli savdo, do‘konlar faoliyati, buyurtmalarni bajarish va yetkazib berish, mijozlarga xizmat ko‘rsatish hamda korporativ chakana savdo jamoalarini qo‘llab-quvvatlash bilan bog‘liq bo‘lishi mumkin. Kompaniya mijozlarni birinchi o‘ringa qo‘yadigan xizmat ko‘rsatish tamoyili va inklyuziv ish joyi madaniyatiga e’tibor qaratishini bildiradi.
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Kompaniyadagi ish o‘rinlari

Machine Learning Operations Manager at Kohl's, Menomonee Falls Onsite

Lead ML Operations engineers supporting scalable machine-learning infrastructure for Kohl’s retail organization. Oversee production model deployment, cloud tooling, and machine-learning lifecycle practices.

USAmerika Qo‘shma ShtatlariWIViskonsinOfisdaTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisi
AirflowBigQueryBulutDockerETLGoogle Cloud PlatformJavaKubernetesPythonPyTorchScikit-LearnSparkSQLTensorFlow

Tavsif

  • Build and lead the ML Operations engineering team through hiring, development, coaching, management, and performance assessment.
  • Guide implementation of the complete machine-learning lifecycle, including scalable ETL pipelines, production deployment of Data Science models, and cloud infrastructure and tooling.
  • Set the roadmap for Machine Learning Engineering and Data Science tools by creating reusable frameworks and standardized implementation solutions.
  • Investigate and prototype advanced machine-learning infrastructure, then guide the team in applying it.
  • Accelerate team execution by resolving blockers and advancing decisions.
  • Advise Data Science managers on cloud tools and infrastructure supporting the machine-learning lifecycle.
  • Establish engineering best practices and promote ongoing development through training, coaching, pair programming, and code reviews.
  • Help build monitoring, alerting, development, and automated testing frameworks that protect the reliability, performance, and integrity of pipelines, models, and infrastructure.
  • Record and share implementations and best practices with leaders throughout Kohl’s data organization.
  • Track developments in Google Cloud Platform services and current MLE and ML Operations practices.
  • Complete other assigned responsibilities.

Talablar

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a comparable quantitative discipline.
  • At least five years of Machine Learning Engineering experience with a record of independently delivering projects successfully.
  • At least two years of management or leadership experience in Data Science or Analytics organizations.
  • Advanced ML Operations expertise, including production ML systems, Docker, Kubernetes, CI/CD, Git-based version control, API development, batch and real-time model serving, and automated testing.
  • Experience partnering with Data Scientists to deploy, scale, and operationalize production machine-learning models.
  • Deep knowledge of cloud platforms, preferably Google Cloud Platform, including Vertex AI, BigQuery, and Dataproc.
  • Extensive knowledge of CI/CD and infrastructure-as-code practices.
  • Strong command of distributed computing and big-data technologies such as Spark, Kubeflow, Airflow, and SQL.
  • Advanced Python skills and experience with machine-learning libraries including TensorFlow, PyTorch, and scikit-learn.
  • Experience in Agile environments focused on iterative delivery and continuous development.
  • Proficiency in Java or another programming language.
  • Experience in retail and e-commerce.
  • Experience using optimization methods and tools such as Gurobi, linear programming, and mixed-integer programming.
  • Experience with agent-based or agentic AI systems, including orchestration of autonomous workflows or LLM-driven agents.

O‘xshash ish o‘rinlari

Active Nutrition International GmbH

Senior Procurement Specialist at Active Nutrition International (Hybrid, Germany)

Active Nutrition International GmbH
51 – 200 Xodimlar
B2BIshlab chiqarishOziq-ovqat va ichimliklar
DEGermaniyaGibridTo‘liq stavkaSeniorTalab Qilinadigan Til: nemischaTalab Qilinadigan Til: inglizchaXaridlar

Oversee supplier relationships, materials, contracts, negotiations and audits for sports nutrition production. Support cost-efficient product launches and supply operations in collaboration with teams across the business.

Ochish
Active Nutrition International GmbH

Senior Procurement Specialist – Packaging and Raw Materials

Active Nutrition International GmbH
51 – 200 Xodimlar
B2BIshlab chiqarishOziq-ovqat va ichimliklar
DEGermaniyaGibridTo‘liq stavkaSeniorTalab Qilinadigan Til: nemischaTalab Qilinadigan Til: inglizchaXaridlar

Lead operational procurement for packaging and raw materials at a sports nutrition company, covering supplier relationships, negotiations, and market analysis. Take primary responsibility for related audit processes and support new product launches and cost efficiency projects.

Ochish