AI & ML Engineer

📋 Description Design, train, and deploy ML models across use cases (rec, churn, fraud, behavior) Build modular ML pipelines for feature engineering, training, validation, and inference Implement deep learning and NLP models, incl transformer architectures Develop and deploy LLM-based applications (summarization, chat, automation) Integrate models into production via REST/gRPC APIs and microservices Implement MLOps pipelines with CI/CD, versioning, and monitoring 🎯 Requirements Strong Python with ML libraries: scikit-learn, XGBoost, LightGBM TensorFlow, PyTorch Hugging Face Transformers AWS SageMaker, Bedrock, Lambda/ECS/EKS NLP/LLMs or time-series modeling MLOps tools: MLflow, Kubeflow, Airflow; Docker, Kubernetes 🎁 Benefits Work with leading financial derivatives institution Competitive salary with incentives International, fast-growing environment Career progression within a global financial group Innovative, growth-focused team Global, diverse international community