Senior AI/ML Engineer

5+ years of engineering experience in the Data and/or AI/ML space. Strong software engineering background, with proficiency in Python (familiarity with Rust is a plus). Proven experience designing and implementing large-scale batch data processing workflows. Hands-on experience developing and operating real-time, low-latency, streaming data pipelines. Proven experience in building and maintaining AI/ML or data platforms at scale. Solid understanding of MLOps concepts. Experience with GenAI tools. Hands-on experience with containerization and orchestration technologies such as Docker, Kubernetes, or Nomad. Excellent communication and collaboration skills.

Design and implement robust Python services and libraries for real-time fraud detection and compliance monitoring. Build scalable batch and streaming data pipelines for feature building, model inference, and training. Develop and operate a developer-friendly ML platform, including feature stores, data validation tooling, and model-training pipelines. Support ML model lifecycle management. Manage and optimize real-time data infrastructure. Work closely with engineers, data scientists, and business stakeholders. Mentor junior engineers, foster best practices, and help shape a strong engineering culture. Stay current with MLOps, AI infrastructure, and data engineering trends. Take end-to-end ownership of systems and services.