• Integration Engineer (Full-Stack) with Machine…

    OneRail (Orlando, FL)


    OneRail is seeking a dedicated Integration Engineer whose primary focus will be integrating machine learning models into our flagship product. You’ll bridge the gap between data science and production software—implementing, deploying, and maintaining ML-powered features while contributing to back-end services and React-based front-end components. Your work will enable seamless, scalable AI capabilities for end users.

    Key Responsibilities

    + Work with ML pipeline engineers to deploy and maintain ML models (e.g., PyTorch, scikit-learn) as robust service endpoints.

    + Collaborate with data scientists and product to productionize prototypes, and extend the product to enable ML and AI features.

    + Define and evolve RESTful APIs with OpenAPI/Swagger—ensuring they support low-latency, high-throughput ML inference.

    + Version, document, and maintain API contracts for internal and external consumers.

    + Build microservices (Python—FastAPI/Flask—or Node.js) that encapsulate ML logic, data pre/post-processing, and business rules.

    + Optimize service performance, scalability, and reliability (caching, async processing, batching).

    + Implement and modify React components and pages to expose ML-driven functionality

    + Ensure seamless data flow from back end to front end, handling streaming or polling as needed.

    + Containerize ML services (Docker) and orchestrate deployments

    + Work closely with cross-functional teams (data science, product, QA) to translate ML requirements into production features.

    + Champion code quality, API versioning strategies, and thorough documentation.

    Required Qualifications

    + 3+ years of professional full-stack development, with a clear track record of integrating ML into production systems.

    + Hands-on experience serving models in production (model serialization, serving frameworks, inference optimizations).

    + Strong TypeScript and Python proficiency

    + Experience with microservices architecture, message brokers (Kafka wtc), and async frameworks

    + Solid React knowledge (hooks, context, state management);

    + Deep understanding of REST principles, OpenAPI/Swagger, and API versioning/Backward-compatibility.

    + Docker and orchestration experience.

    + CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI) and automated testing (unit, integration, e2e).

    + Strong communicator, able to translate technical concepts for non-technical stakeholders.

    + Excellent problem solver with an eye for scalable system design.

     

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