Integration Engineer Machine Learning, 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

Integration Engineer Machine Learning, Poland

Professional

30+ days ago Requisition ID: 1009

Salary Range: PLN240,000.00 To PLN324,000.00 Annually

OneRail is a technology company innovating solutions for multi-modal delivery. We have built and continue to develop a delivery orchestration platform that connects shippers to an extensive courier ecosystem to automate, optimize, and control the entire delivery supply chain, from the demand signal to the proof of delivery.

Our OmniPoint SaaS platform uses proprietary algorithms and artificial intelligence to power efficient same-day delivery programs for major companies like Lowe's, Pepsi, American Tire Distributors, and Advance Auto Parts.

We're 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.

Requirements

• 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.
• Advanced proficiency in English, both written and spoken (B2+).

Why Join OneRail Poland?

• Innovation at its Core: Work on industry-leading technology that is shaping the future of logistics.
• Career Growth: Opportunities for professional development and career advancement.
• Collaborative Culture: Join a team of talented engineers and industry experts.
• Exciting Challenges: Solve complex problems and contribute to impactful projects.
• Flexibility: We offer a flexible hybrid work style and flexible employment types to suit your needs, ensuring a work-life balance that works for you.
• Competitive Compensation: Attractive salary and benefits package.

Office location: Kraków, Poland

Work Style: hybrid (2-3 days from the office/week preferred). We are open to a more flexible arrangement for candidates located outside the Krakow area.

Salary level: 20 000 - 27 000 PLN/month