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Kohls in Fort Worth, TX is hiring for a mid-level, part-time backend/ML engineer to build scalable Deep Learning solutions and own outcomes. You will mentor peers, optimize Databricks/Spark pipelines, and help Kohls deploy ML features during launch spikes on-site in Texas.
Expect collaboration with a tight-knit team, bias-to-action problem-solving, and a role that balances delivery with growth opportunities in a fast-moving tech environment.
Come build the backend that powers our boldly-pragmatic products, writing Deep Learning that holds up under serious load. The right innovative candidate will own outcomes, mentor peers, and earn $82,000 - $123,000 in this mid-level part-time position.
At Kohls, a warm-yet-rigorous team in Fort Worth, TX has spent years proving that XGBoost and Deep Learning belong in the same conversation. We swap XGBoost and Apache Spark tips over lunch because nobody here pretends to know it all.
Beyond the $82,000 - $123,000 headline, we hand you a mentor, room to grow into mid-level work, and the freedom to shape your own week.
This Fort Worth, TX role just got a fresh timestamp, and applications are flowing in.