We are looking for a Senior Machine Learning Engineer to join a renowned American apparel brand. In this role, youll enhance consumer experiences by identifying improvement opportunities and prototyping solutions. Youll collaborate with data scientists, analysts, and engineers to develop and deploy ML models for e-commerce sites, in-store portals, and mobile apps, driving personalized consumer experiences.
Industry: Retail
Remote work: 100% remote from EU
Budget: B2B: 1440 PLN/net/day + VAT
Contract length: long-term cooperation
Working hours: flexible during the day, Cooperation with US west-coast based teams overlap with 9am PDT (18:00 CET) every day
Start date: ASAP
responsibilities :
Collaborate with cross-functional teams to prototype enhancements in business processes and consumer experiences using a "crawl, walk, run" approach.
Lead the full ML model development lifecycle, including data exploration, feature engineering, model building, and deployment for batch and real-time systems.
Write scalable code in an iterative, continual-release environment, promoting software engineering best practices.
Establish automated processes for data analysis, model development, validation, and deployment.
Provide ongoing support to ensure optimal performance of deployed ML models.
Develop and maintain cloud-native ML pipelines using best practices in cloud computing and serverless architecture.
Work on innovative projects like personalized product recommendations, customer segmentation, anomaly detection, next-best offer prediction, and more.
Example Projects:
Personalized product recommendation engine.
Customer segmentation for targeted marketing.
Automated text summarization and clustering.
Next-best offer prediction model.
Micro assortments for retail stores.
Anomaly detection systems with root cause analysis.
Unified consumer profile through probabilistic record linkage.
Visual search for similar and complementary products.
requirements-expected :
University or advanced degree in Engineering, Computer Science, Mathematics, or related field.
7+ years in software development, with strong experience in developing and deploying ML systems in large data science environments.
Proficient in Python, with tools like VSCode and Jupyter Notebooks; familiarity with Java, C++, or Scala is a plus.
Experience with big data tools (Hadoop, Spark, Kafka) and cloud platforms, preferably GCP with serverless architecture.
Expertise in CI/CD processes using GitHub Actions, Harness, and Jenkins.
Skilled in data warehousing (Google BigQuery) and independently managing Kubeflow pipelines.
Knowledgeable in feature engineering, feature stores, and audit processes.
Strong foundation in software engineering practices, including testing, CI, code reviews, and documentation.
Experience with ML orchestration systems (Kubeflow, Step Functions, ML Flow, Airflow, TFX) and containerization (Docker, Kubernetes).
Strong reasoning to balance solution vs risk taking
offered :
Opportunity to participate in an innovative project in a multinational environment
Full-time job agreement based on b2b
Private medical care with dental care (covering 70% of costs) + rehabilitation package. Family package option possible
