ml engineer in financial services

Описание: NewDay is a financial services company building data-driven machine-learning capabilities and production systems. Задачи: Establish standard, reusable patterns for model serving, pipelines, and deployment; Define standards for model packaging, versioning, CI/CD, monitoring, and observability; Set production-readiness criteria for models entering engineering workflows; Provide technical direction for ML solutions delivered within the team; Evolve platform capabilities to reduce bespoke approaches over time; Reduce the engineering effort required to productionize models through reusable approaches and platform capabilities. Требования: Experience building and operating ML systems in production, including model serving, monitoring, and lifecycle management; Strong understanding of serving patterns across batch and real-time environments and of moving models from training to production; Experience defining engineering approaches that enable Data Science teams to deliver reliable, production-ready models; Ability to turn ambiguity into clear, adoptable technical standards and reusable patterns; Experience setting technical direction and influencing engineering practices across teams; Hands-on experience with cloud ML platforms such as AWS SageMaker and orchestration tools such as Airflow and Step Functions; Strong communication skills and ability to collaborate across Data Science, Engineering, and Data Platforms; Comfortable operating at the boundary between experimentation and production-grade ML delivery; Values structure, consistency, and high standards in engineering practices; Thinks in terms of reusable frameworks rather than one-off solutions; Motivated by improving the reliability and long-term maintainability of ML systems; Brings clarity, direction, and technical leadership to complex problem spaces. Условия: Equal opportunity employer with an inclusive working culture; Reasonable adjustments are available to support candidates with disabilities or caring responsibilities during the application and interview process.