Senior AI / Machine Learning Engineer - Turkish Speaking

We are looking for an experienced Senior AI / Machine Learning Engineer to join our team and work on KYC/KYB, identity verification, fraud detection, Anti-Money Laundering (AML), and related systems.
Responsibilities
Develop AI/ML solutions for KYC/KYB and digital identity verification processes
Develop solutions for OCR, document recognition, fraud detection, and tampering/manipulation detection for passports, ID cards, and similar documents
Develop face recognition, face matching, liveness detection, and anti-spoofing solutions
Develop models to detect fraudulent receipts, invoices, identity documents, and other financial/digital documents
Develop fraud detection, anomaly detection, risk scoring, and suspicious transaction detection models
Perform ML-based analysis of transaction behavior, user profiles, and anomalies within AML processes
Contribute to the development of transaction monitoring and fraud prevention systems
Develop Machine Learning / Deep Learning models using both structured and unstructured data
Integrate developed models with existing backend systems and deploy them into production environments
Monitor and improve model performance and adapt models to emerging fraud scenarios
Requirements
Strong experience in Python and Machine Learning / Deep Learning
Proficiency in PyTorch, scikit-learn, OpenCV, and similar AI/ML technologies
Hands-on experience with classification, anomaly detection, similarity matching, and risk scoring problems
Experience in Computer Vision, OCR, Face Recognition, and Document AI
Experience in Fraud Detection, AML, Transaction Monitoring, KYC/KYB, and Risk Analytics
Experience working with Hugging Face, Roboflow, or similar AI/model ecosystems
Familiarity with embeddings and vector search approaches, preferably with technologies such as Milvus, FAISS, or similar
Experience in dataset preparation, model training, fine-tuning, and model performance evaluation
Experience integrating AI/ML models with backend systems through APIs and deploying them in production environments
Strong engineering mindset with the ability to follow current AI/ML developments and rapidly develop PoCs when needed
Nice to Have
Java knowledge and experience integrating with Java-based applications
Experience working in finance, fintech, payment systems, or banking
Experience with graph-based fraud detection or transaction network analysis
Experience with Kubernetes, Docker, and MLOps
Familiarity with ONNX, TensorRT, or similar model optimization technologies
Experience working with sensitive and biometric data in compliance with GDPR / data protection regulations

Work arrangement
Yes