remote
AI Workflow Engineer - Accertify, Inc.
Software Engineer
Design and implement AI-driven fraud detection pipelines, integrating data streams, model serving, and cloud infrastructure to deliver real‑time, high‑accuracy decisions for commerce platforms.
About the role
Key Responsibilities
- Develop, deploy, and maintain end‑to‑end AI workflows that ingest, process, and score transaction data in real time.
- Collaborate with data scientists to operationalize machine‑learning models, ensuring scalability, low latency, and robust monitoring.
- Build and optimize data pipelines using Kafka, Spark, and SQL to aggregate multi‑source signals across the customer lifecycle.
- Design cloud infrastructure on AWS (e.g., Lambda, SageMaker, ECS/EKS) to support model training, inference, and continuous integration/continuous deployment (CI/CD).
- Implement automated testing, logging, and alerting to maintain model performance and data quality.
Requirements
- 5+ years of experience in building production‑grade AI/ML pipelines and workflow orchestration.
- Proficiency in Python and related data‑science libraries (pandas, scikit‑learn, TensorFlow/PyTorch).
- Strong background in cloud services (AWS) and container orchestration (Docker, Kubernetes/EKS).
- Hands‑on experience with streaming platforms such as Kafka and batch processing frameworks like Spark.
- Solid SQL skills and familiarity with data modeling for large‑scale transactional datasets.
Skills
pythonmachine learningawskafkasql