Levi Strauss & Co. is seeking a Senior Machine Learning Engineer in Warsaw to join our Data Science team. Your primary mission will be to operationalize Machine Learning and Generative AI models in Production, developing novel approaches to optimize existing AI systems to maximize their value and increase consumer satisfaction at every brand touchpoint.
What You'll Do
- Implement end-to-end solutions for batch and real-time AI and GenAI algorithms along with requisite tooling around monitoring, logging, automated testing, model retraining, deployment, 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 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.
- Contribute to and re-use community best practices.
- Work on specific projects including Next-Generation Personalization, Visual Commerce & Outfitting, GenAI & Agentic AI, and Loyalty & Customer AI.
What We're Looking For
- 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.
- Experience with at least one cloud provider solution (AWS, GCP, Azure) and understanding of serverless code development.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala.
- 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, 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.
Nice to Have
- Relevant working experience with Docker and Kubernetes is a big plus.
Technical Stack
- Languages: Python, Java, C++, Scala, SQL
- Data Platforms: NoSQL, Hadoop, Spark, Kafka, Dataproc
- Cloud: AWS, GCP, Azure, Cloud Run, Kubernetes, Dataflow
- ML/DL Libraries: Scikit-learn, XGBoost, MXNet, TensorFlow, PyTorch
- MLOps & Orchestration: Kubeflow, Step Functions, MLflow, Airflow, TFX, Docker, Kubernetes
- Monitoring: New Relic
Team & Environment
You will be part of the global Data, Analytics & AI 'startup with assets' community, reporting directly to the Direct to Customer AI Engineering Manager.
Work Mode
This is a local-city position based in Warsaw, Poland.
At Levi Strauss & Co., you can be yourself — and be part of something bigger. We’re a company of people who like to forge our own path and leave the world better than we found it. We believe that what makes us different makes us stronger. We look for candidates who embody our values and engage with colleagues from multiple backgrounds with empathy.
