ML Integration Engineer — Hybrid (Poland)

OneRail; Kraków; Hybrid; PLN 240,000 - 324,000; Full time

Benefits offered by this job

Hybrid work model

Flexible employment types

Office in Kraków

Job summary

OneRail is seeking an Integration Engineer to bridge data science and production software. You will deploy and maintain ML-powered features, build microservices, and connect back-end services with React-based front-ends.

You will collaborate with data scientists, product, and QA to deliver scalable AI-enabled capabilities. The role requires strong TypeScript and Python skills, experience with microservices, Docker, and CI/CD, and excellent communication in English.

Qualifications

• 3+ years of professional full-stack development with ML production experience.
• Experience serving models in production (serialization, serving frameworks, inference).
• Strong TypeScript and Python proficiency.
• Experience with microservices, message brokers (Kafka), and async frameworks.
• Solid React knowledge (hooks, context, state management).
• Deep understanding of REST, OpenAPI/Swagger, API versioning.
• Docker and orchestration experience.
• CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI) and automated testing.

Responsibilities

• Deploy and maintain ML models as robust service endpoints.
• Productionize prototypes with data scientists and product teams.
• Define and evolve RESTful APIs with OpenAPI/Swagger for low-latency inference.
• Build and maintain microservices encapsulating ML logic and data processing.
• Expose ML-driven functionality via React components and pages.
• Containerize services with Docker and manage deployments.

Skills

TypeScript

Python

React

REST APIs

OpenAPI/Swagger

Docker

CI/CD

Kafka

Microservices

English proficiency

Tools

FastAPI/Flask

Node.js

Swagger

Job description

OneRail is seeking an Integration Engineer to bridge data science and production software. You will deploy and maintain ML-powered features, build microservices, and connect back-end services with React-based front-ends.

You will collaborate with data scientists, product, and QA to deliver scalable AI-enabled capabilities. The role requires strong TypeScript and Python skills, experience with microservices, Docker, and CI/CD, and excellent communication in English.