We are looking for a candidate for our client in the apparel industry: Senior Machine Learning Engineer
Join a dynamic, global “resource-backed startup” focused on data, analytics, and artificial intelligence. You’ll have the opportunity to build exciting solutions supporting operations across the Americas while becoming part of a larger, intercontinental tech community. As a Senior Machine Learning Engineer (Senior ML Engineer), you will collaborate with the Data Science team to deploy machine learning and generative artificial intelligence (GenAI) models in a production environment. Your work will cover a wide range of areas driving the digital transformation of business processes across all sales channels.
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You will be part of the “Data, Analytics, and AI” team, which focuses on data, analytics, and artificial intelligence. You will have the opportunity to create exciting solutions supporting operations across the Americas, while becoming part of a larger, intercontinental technology community.
As a Senior Machine Learning Engineer (Senior ML Engineer), you will collaborate with the Data Science team to deploy machine learning and generative artificial intelligence (GenAI) models in a production environment. Your work will cover a wide range of areas driving the digital transformation of business processes
across all sales channels.
what we offer
Permanent Stability: Full-time employment contract (UoP)
Global Exposure: Direct collaboration with senior IT leadership in the US (East and West Coast) within a 12-member expert team.
Impactful Projects: Real involvement in a massive go-live stage, moving beyond maintenance into high-level system deployment.
Innovation Hub: Opportunity to work in a brand-new Polish GCC, shaping the future of retail tech for millions of customers.
Flexible Work Model: Standard CET working hours with the flexibility to sync with US teams for key strategic alignments.
your tasks
- Implement end-to-end solutions for batch and real-time AI and GenAI algorithms along with requisite tooling around monitoring (e.g., New Relic), logging, automated testing, model retraining, model deployment (Cloud Run, Kubernetes), and metadata tracking.
- Identify new opportunities to improve business processes and consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset, specifically focusing on Agentic AI and Automated-to-Automated (A2A) workflows.
- Work with data scientists and analysts to create and deploy new product features on the ecommerce website, in-store portals, and the Levi's mobile app.
- Establish scalable, efficient, automated MLOps processes for data analyses, model development, validation, and implementation.
- Write efficient and scalable software, leveraging advanced Python and cloud-native services, to ship products in an iterative, continual-release environment.
- Contribute to and promote good software engineering practices across the team and build cloud native software for ML pipelines (e.g., Dataproc, Dataflow).
- Contribute to and re-use community best practices.
- Embody the values and passions that characterize Levi Strauss & Co., with empathy to engage with colleagues from multiple backgrounds.
Besides driving the transformation of Levi's into a data-driven enterprise in general, here are some specific projects you will work on and contribute to:
- Next-Generation Personalization: Building and optimizing real-time product recommenders (e.g., Similar Items, Complementary Recommenders, OOS Recommender).
- Visual Commerce & Outfitting: Features like Shop the Look and developing services for Outfitting Inspiration and Generation.
- GenAI & Agentic AI: Prototyping and productionizing the TailoredAI Assistant—an Agentic AI layer leveraging multimodal intelligence (Image, Voice, and Text Aware) for personalized styling and shopping support.
- Loyalty & Customer AI: Architecting and deploying models for Next Best Action, Email Targeting, and sophisticated Customer Segmentation.
what we expect
- University or advanced degree in engineering, computer science, mathematics, or a related field
- 7+ years experience developing and deploying machine learning systems into production
- Experience working with a variety of relational SQL and NoSQL databases
- Experience working with big data tools: Hadoop, Spark, Kafka, Dataproc etc.
- Experience with at least one cloud provider solution (AWS, GCP, Azure) and understanding of severless code development
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Previous experience developing predictive models in a production environment, MLOps and model integration into larger scale applications.
- Experience with Machine and Deep Learning libraries such as Scikit-learn, XGBoost, MXNet, TensorFlow or PyTorch
- Experience with AI/GenAI concepts, including Agentic AI architectures (e.g., LangGraph, Google adk), and automating workflows.
- Knowledge of data pipeline and workflow management tools
- Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation
- Working experience with native ML orchestration systems such as Kubeflow, Step Functions, MLflow, Airflow, TFX...
- Relevant working experience with Docker and Kubernetes is a big plus
Employment agency entry number 47
this job offer is intended for people over 18 years of age
