Senior AI/ML Engineer

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

Design and implement Python services and libraries for fraud detection and compliance. Build scalable data pipelines for feature building, inference, and training. Develop and operate an ML platform with feature stores, data validation, and training pipelines. Support ML model lifecycle management. Manage and optimize real-time data infrastructure using Kafka, Flink, Kubernetes/Nomad. Work with Python/Rust engineers, data scientists, and stakeholders. Mentor junior engineers and foster best practices. Stay current with MLOps, AI infrastructure, and data engineering trends. Take end-to-end ownership of systems and services.