data Scientist ML / AI Engineer

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.

דרישות:

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. המשרה מיועדת לנשים ולגברים כאחד.