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Full Stack ML Engineer, Senior
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Full-time
- full-stack machine learning engineer
- Experience with back-end development using server-side languages and frameworks, such as Node.js, Python (Django/Flask), or Java (Spring Boot), including experience with RESTful APIs and microservice architectures
- Engineering, Data Science, Science, Technology, Engineering, or Math (STEM)
- Experience working with cloud platforms, such as AWS, Azure, or GCP, including familiarity with cloud native tools, such as AWS Lambda or Azure Functions
- Experience with containerization technologies, such as Docker and container orchestrations platforms like Kubernetes
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