SANDBX is looking for an ML/MLOps Engineer. As MLE/MLOps you will be responsible for developing and maintaining ML-powered services. You will work closely with cross-functional teams and help bridge the gap between the algorithms/models developed by ML Researchers and other systems that utilize them. Responsibilities: Design, develop, and deploy ML-powered systems Maintain and improve such systems over time Work closely with ML researchers to make sure the systems are functioning correctly and utilize efficient tooling Work closely with the infra team to maintain the stability of the systems, identify and help address possible issues with underlying environments Requirements 3 years of experience in software engineering Good knowledge of Python and its ecosystem, specifically related to ML applications and their deployment (e.g. knowing how to take a model developed by researchers  and convert it into a live deployment) Understanding of microservices and common architectural patterns used alongside them Experience using any REST framework (FastAPI preferably, but anything similar will do) Familiarity with Linux and its ecosystem of CLI tools Experience with writing containerized applications using Docker Experience with any testing framework Understanding of DevOps principles (CI/CD, infrastructure-as-code) Experience with deploying any ML-based app willingness to learn and being open to new tools/approaches/tech stacks Good communication skills Effective communication in English Understanding the general computational requirements of common ML algorithms Experience using (one of) k8s/docker-compose/any major cloud provider Would be a plus: Understanding observability, metrics, alerts Data engineering skills Any prior MLE/ML research experience Experience with any MLOps tools (like MLFlow, Pachyderm, KubeFlow, DVC, etc) Familiarity with kubectl for debugging issues with k8s-based deployments Benefits We offer: - Market competitive salary - Small but highly skilled, technically savvy and passionate team - Open, honest and inclusive culture - Unlimited vacations and sick days - Benefits&perks