Senior AI / Machine Learning Engineer - Turkish Speaking

Guardian Professional; Turkey; On-site; TRY 480,000 - 720,000; Full time

Job summary

Guardian Professional in Turkey seeks a Senior AI / Machine Learning Engineer to build and deploy KYC/KYB, identity verification, and AML solutions. You will develop OCR, document recognition, fraud detection, and face recognition capabilities for secure digital identity workflows.

The role emphasizes Python/ML expertise, CV/vision tech, model ecosystems, and strong API integration to production systems, with a focus on robust, scalable fraud prevention and risk analytics.

Qualifications

• Strong Python and ML background with practical deployment experience.
• Experience with CV/vision tech, OCR, and document AI.
• Proficiency in fraud detection, AML, KYC/KYB risk analytics.
• Familiarity with model ecosystems (Hugging Face, Roboflow).
• Experience deploying models via APIs to backend systems.

Responsibilities

• Develop AI/ML solutions for KYC/KYB and identity verification.
• Build OCR and document recognition for identity documents.
• Develop face recognition, liveness detection, anti-spoofing.
• Create fraud detection and anomaly detection models.
• Integrate models with backend systems and deploy to production.
• Monitor model performance and adapt to new fraud scenarios.

Skills

Python

PyTorch

OpenCV

Fraud detection

KYC/KYB

Computer Vision

OCR

API integration

Production ML

Tools

Hugging Face

Milvus

FAISS

Docker

Kubernetes

MLOps

ONNX

Job description

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