Machine Learning Engineer

Build and maintain high-performance microservices using Kotlin and Spring Boot Model relational schemas, optimize SQL queries, and manage data consistency across

MySQL

and

PostgreSQL Collaborate with data scientists to consume ML models (e.g., via REST, gRPC), embed intelligent decisioning into backend services Develop and maintain RESTful APIs; define contracts for frontend, partner services, or AI inference layers Contribute to Docker / Kubernetes-based deployments, CI / CD pipelines, and monitoring (Grafana, Prometheus, etc.) Review code, guide peers on best practices, and participate in architectural discussions and roadmap planning

Skills 5+ years of experience

building production-ready backend systems Expert-level knowledge

of Kotlin and Spring Boot ecosystem Strong experience with microservices, API design, and distributed systems Hands-on experience with MySQL and PostgreSQL including schema design and query optimization Solid understanding of software design patterns, RESTful principles, and secure coding practices Experience with containerized environments and orchestrators (Docker, Kubernetes) Familiarity with integrating AI / ML models (e.g., Python-based APIs, TensorFlow / ONNX serving, or model inference endpoints) Strong communication skills and ability to work across engineering and data teams

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