Senior Machine Learning Engineer I - ML Production
About the job
What you'll do
Design, build, and operate scalable, low-latency ML inference services across online, asynchronous, and batch workloads, including model deployment, versioning, monitoring, and rollback. Improve platform reliability, performance, cost efficiency, and developer experience while leading technical work, collaborating across teams, and mentoring engineers.
What they're looking for
Candidates should have experience deploying and operating production ML models, strong backend engineering skills in JVM languages or Python, and a background in distributed systems and production Kubernetes. The role also requires experience with cloud or hybrid infrastructure, CI/CD and infrastructure as code, observability, ML serving, and incident response, along with strong collaboration and communication skills.