Join our clients team in the medical industry as an AI/ML Principal Software Engineer, and help build cutting-edge software solutions powered by machine learning for real-world applications.
In this role, you will play a key part in designing and building scalable, high-performance systems that bring machine learning models into production environments. This is an exciting opportunity to lead critical initiatives at the intersection of software engineering and AI, while working remotely within a collaborative and forward-thinking team.
Join our clients team in the medical industry as an AI/ML Principal Software Engineer, and help build cutting-edge software solutions powered by machine learning for real-world applications.
In this role, you will play a key part in designing and building scalable, high-performance systems that bring machine learning models into production environments. This is an exciting opportunity to lead critical initiatives at the intersection of software engineering and AI, while working remotely within a collaborative and forward-thinking team.
,[Take ownership of designing and developing reliable, scalable software solutions that incorporate machine learning models, Work closely with data scientists and ML engineers to transform experimental prototypes into fully operational, production-grade systems, Contribute to key architectural decisions, infrastructure planning, and the selection and implementation of development tools, Assist in building and maintaining cloud-native environments and solutions on AWS, Apply industry best practices for automated testing, continuous integration and delivery (CI/CD), and system observability, Develop and sustain backend infrastructures and user-facing applications with a strong focus on performance, security, and maintainability Requirements: AWS, Docker, Kubernetes, CI/CD, Python/Java/Golang/Node.js, Django/ Spring boot, React/Angular, TensorFlow / PyTorch, Prometheus / Grafana / ELK stack, Veeva Additionally: Sport subscription, Training budget, International projects, Small teams, Private healthcare, Free breakfast, No dress code, Free coffee, In-house trainings, Modern office.