Sperry Rail is seeking Full Stack Engineers with a data science focus to design, build, and maintain data-driven applications behind Zula 2.0, the platform that ranks and fuses outputs from rail inspection systems. You will work across the full stack with emphasis on backend data processing, analytics, and ML workflows hosted on AWS.
Bring strong Python, data pipelines, AWS experience, and a collaborative mindset to translate rail inspection requirements into scalable technical solutions while
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Full-Stack Data Science Engineer on AWS & ML employer: Sperry Rail, Inc.
Sperry Rail, Inc. is an exceptional employer that fosters a collaborative and innovative work culture, where Full Stack Engineers can thrive while working on impactful projects in the rail industry. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and cutting-edge technologies, all within a supportive environment that values teamwork and creativity. Located in a dynamic sector, this role offers the chance to contribute to mission-critical solutions that enhance rail safety and efficiency.
