ML Integrations Engineer

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 through caching, async processing, and 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 with Docker and orchestrate deployments.
• Work closely with data science, product, and QA teams 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, including model serialization, serving frameworks, and inference optimizations.
• Strong TypeScript and Python proficiency.
• Experience with microservices architecture, message brokers (Kafka), and async frameworks.
• Solid React knowledge, including hooks, context, and state management.
• Deep understanding of REST principles, OpenAPI/Swagger, API versioning, and backward compatibility.
• Docker and orchestration experience.
• Experience with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI) and automated testing, including unit, integration, and end-to-end testing.
• Strong communication skills and ability to translate technical concepts for non-technical stakeholders.
• Excellent problem-solving skills with an eye for scalable system design.
• Advanced written and spoken English proficiency (B2+).

Benefits

• Professional development and career advancement opportunities.
• Collaborative work with engineers and industry experts.
• Flexible hybrid work style and employment types.
• Competitive salary and benefits package.
• Office location: Kraków, Poland.
• Work style: Hybrid, with 2–3 days per week in the office preferred.
• Salary: 20,000–27,000 PLN per month.