ML Integrations Engineer

20k - 27k PLN20 000 - 27 000 PLN/ mies./ mies.UoPUmowa o pracę (brutto)

20k - 27k PLN20 000 - 27 000 PLN/ mies./ mies.B2BB2B (netto)

MidHybryda·KrakówFull-time·Umowa o pracę·B2B

#467220·Dodano 3 dni temu·10

Źródło: justjoin.it

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Tech Stack / Keywords

Machine Learning TypeScript REST Microservices Python

Podsumowanie oferty

Integrate machine learning models into OneRail’s flagship product, building production features that connect data science with production software. Contribute to back-end services and React front-end components to deliver scalable ML capabilities.

Wymagania

3+ years of professional full-stack development experience, including a track record of integrating ML into production systems.
Hands-on experience serving models in production, including model serialization, serving frameworks, and inference optimization.
Strong proficiency in TypeScript and Python.
Experience with microservices architecture, message brokers such as Kafka, and asynchronous frameworks.
Solid knowledge of React, including hooks, context, and state management.
Deep understanding of REST, OpenAPI/Swagger, API versioning, and backward compatibility.
Experience with Docker and orchestration.
Experience with CI/CD pipelines such as GitHub Actions, Jenkins, or GitLab CI, and automated unit, integration, and end-to-end testing.
Strong communication skills, including the ability to explain technical concepts to non-technical stakeholders.
Problem-solving skills and an eye for scalable system design.
Advanced written and spoken English proficiency (B2+).

Obowiązki

Work with ML pipeline engineers to deploy and maintain ML models, such as PyTorch and scikit-learn, as service endpoints.
Collaborate with data scientists and product teams to productionize prototypes and extend the product with ML and AI features.
Define and evolve RESTful APIs with OpenAPI/Swagger for low-latency, high-throughput ML inference.
Version, document, and maintain API contracts for internal and external consumers.
Build Python (FastAPI/Flask) or Node.js microservices for ML logic, data pre- and post-processing, and business rules.
Optimize service performance, scalability, and reliability through caching, asynchronous processing, and batching.
Implement and modify React components and pages to expose ML-driven functionality.
Ensure data flows seamlessly from back end to front end, using streaming or polling as needed.
Containerize ML services with Docker and orchestrate deployments.
Work with data science, product, and QA teams to translate ML requirements into production features.
Champion code quality, API versioning strategies, and thorough documentation.

Benefity

Opportunities for professional development and career advancement.

OneRail Poland Sp. z o.o.

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