Integration Engineer Machine Learning, Poland
On Demand Technologies Inc Poland · PLN 240K–PLN 324K/yr
Applying here? Try the free cover letter tool — paste this posting and your résumé, no account needed.
About the role
The Integration Engineer will bridge the gap between data science and production by deploying and maintaining machine learning models as service endpoints. They will also build microservices and React-based front-end components to enable scalable AI features within the company's delivery orchestration platform.
What they look for
Requirements
Candidates must have 3+ years of professional full-stack development experience with a focus on integrating machine learning into production systems. Proficiency in Python, TypeScript, React, and containerization technologies like Docker is required.
Benefits
Full description
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+).
Not sure if you have enough experience to meet the challenge, but still willing to learn and join our team? Send us your application and we will be happy to talk about the possibilities. Think big!
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
Take the next step in your career and become a part of OneRail’s exciting journey!
Similar roles
-
Senior Machine Learning Engineer
Adyen Amsterdam, North Holland, Netherlands
-
Senior Machine Learning Scientist
Adyen Amsterdam, North Holland, Netherlands
-
Machine Learning Engineer ( Internal/External)
Safaricom Telecommunications Ethiopia PLC Addis Ababa, Addis Ababa, Ethiopia
-
Senior Manager – Data Engineering & Machine Learning
Catawiki Amsterdam, North Holland, Netherlands
-
Senior Machine Learning Engineer
Thoughtworks Singapore, Singapore
-
Senior Machine Learning Engineer
Verne City of Zagreb, Croatia