5+ years of experience in Data Science or Machine Learning.
Strong programming skills in Python and SQL.
Proficiency with modern ML frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
Experience with MLOps tools (e.g., MLflow, Kubeflow, Airflow).
Hands-on experience with Google Cloud Platform (GCP), including cloud-native tools and services.
Solid foundation in statistics, probability, and experimental design (e.g., A/B Testing).
Experience in Agile and DevOps development environments.
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field.
Experience deploying and fine-tuning LLMs (e.g., GPT, BERT, LLaMA).
Familiarity with knowledge graphs and their role in machine learning applications.
Retail industry experience, especially in customer personalization and web analytics.
Experience with BI tools and data visualization platforms.
Exposure to IKEA’s digital ecosystem or similar enterprise data environments.