OneRail Poland Sp. z o.o.

Integrations Engineer - Machine Learning

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

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

MidHybryda·KrakówFull-time·B2B·Umowa o pracę

#460722·Dodano 14 dni temu·0

Źródło: nofluffjobs.com

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Tech Stack / Keywords

TypeScript Python Microservices Kafka REST API Docker CI/CD GitHub Actions Machine learning Azure Datadog

Podsumowanie oferty

The role focuses on integrating machine learning models into OneRail’s flagship product, implementing, deploying, and maintaining ML-powered features. It also contributes to back-end services and React-based front-end components, using TypeScript and Python.

Wymagania

3+ years of professional full-stack development, with a track record of integrating ML into production systems.
Hands-on experience serving models in production, including model serialization, serving frameworks, and inference optimizations.
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 principles, 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.
Excellent problem-solving skills and an eye for scalable system design.
Advanced proficiency in spoken and written English (B2+).

Obowiązki

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 teams to productionize prototypes and extend the product with ML and AI features.
Define and evolve RESTful APIs with OpenAPI/Swagger to support low-latency, high-throughput ML inference.
Version, document, and maintain API contracts for internal and external consumers.
Build microservices using Python (FastAPI or Flask) or Node.js to encapsulate 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 seamless data flow from back end to front end, handling streaming or polling as needed.
Containerize ML services with Docker and orchestrate deployments.
Work with cross-functional teams, including data science, product, and QA, to translate ML requirements into production features.
Champion code quality, API versioning strategies, and thorough documentation.

Benefity

Sport subscription.
Training budget.
Private healthcare.
Free coffee, snacks, beverages, and lunch.
Bike parking and free parking.
Playroom.
In-house trainings and in-house hack days.

Karta sportowa

Dofinansowanie szkoleń

Opieka zdrowotna

Napoje w biurze

Darmowe przekąski

Parking dla rowerów

Parking dla aut

Szkolenia wewnętrzne

OneRail Poland Sp. z o.o.

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