Software Engineer, Data Science Portfolio

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Software Engineer, Data Science Portfolio

Software engineering experience, ideally with exposure to ML systems. Strong backend engineering skills (Python and Java preferred). Experience building APIs, services, and production systems. Solid software engineering fundamentals: Git/Github workflows, unit and integration testing, CI/CD and multi environment deployments, code reviews, OOP and good class/object design practices. Experience with cloud infrastructure and distributed systems. Ability to work closely with data scientists, operations research engineers, and product managers. Comfortable owning features end-to-end with minimal oversight. Strong troubleshooting and operational support mindset. Bonus: experience with Data Science ML or Operations Research (optimization, MIPs), curious about machine learning concepts and eager to bridge the gap between research and production.

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Vacancy posted 2 days ago

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