data Scientist ML/ AI Engineer - Raanana | Temporary with possible extension
We are looking for a data Scientist ML/ AI Engineer for our eSIM team, focusing on fraud and anomaly detection. Work mostly with unlabelled logs using unsupervised, semi-supervised, and supervised learning to build production-ready AI models.
Responsibilities: Collect, clean, and structure large datasets; develop models using neural networks, gradient boosting, clustering (K-Means, DBSCAN) and anomaly detection (Autoencoders, Isolation Forest, One-Class SVM, BERT); train and evaluate on historical/ Real-Time data ; deploy in MS Azure; monitor performance; collaborate with engineers and stakeholders; optimize models for performance and cost.
Lead AI projects end-to-end, from problem definition to integration into the eSIM Cloud product.
Requirements: Education: Masters or Ph.D. in Computer Science, data Science, AI, or related field.
Experience: 4+ years in ML/AI, hands-on in fraud or anomaly detection.
Domain Skills: Real-Time anomaly detection; analyzing large transactional logs; telecom eSIM lifecycle (profile downloads, activation, provisioning); familiarity with telecom fraud patterns (SIM swap, identity theft, unauthorized downloads).
Technical Skills: Python (mandatory), database querying; ML frameworks (TensorFlow, PyTorch, Scikit-learn); data tools (Pandas, NumPy, Python Outlier Detection); ETL, preprocessing, feature engineering; Azure ML, Fabric; MLOps (MLflow, Kubeflow, Docker, Kubernetes); visualization (Power BI or similar).
Soft Skills: Strong analytical thinking, problem-solving, clear communication of complex concepts.
This position is open to all candidates.