remote
Senior AI Engineer - eMerchantPay
AI Engineer
Senior AI Engineer leading the design, development, and deployment of advanced machine‑learning models for real‑time fraud detection and payment optimization, leveraging Python, deep‑learning frameworks, and cloud infrastructure.
About the role
Key Responsibilities
- Design and implement scalable machine‑learning pipelines for fraud detection, risk scoring, and transaction routing.
- Develop, train, and fine‑tune deep‑learning models using TensorFlow or PyTorch on large‑scale payment datasets.
- Integrate AI solutions into production micro‑services, containerizing workloads with Docker and orchestrating them on Kubernetes.
- Collaborate with data engineers and product teams to define data requirements, feature engineering strategies, and model evaluation metrics.
- Monitor model performance in real time, conduct A/B testing, and iterate to improve accuracy and latency.
Requirements
- 5+ years of professional experience in machine learning or AI engineering, preferably in fintech or payments.
- Strong proficiency in Python and deep‑learning libraries such as TensorFlow or PyTorch.
- Hands‑on experience deploying models on AWS (SageMaker, EC2, Lambda) and managing containerized workloads with Docker/Kubernetes.
- Solid understanding of statistical modeling, feature engineering, and model validation techniques.
- Excellent problem‑solving skills and ability to work cross‑functionally in an agile environment.
Skills
pythontensorflowpytorchmachine learningawsdockerkubernetes