Machine Learning Integrations Engineer
20k - 27k PLN20 000 - 27 000 PLN/ mies.B2B
20k - 27k PLN20 000 - 27 000 PLN/ mies.UoP
#460723·Dodano 5 dni temu·1
Źródło: nofluffjobs.comTech Stack / Keywords
Podsumowanie oferty
Integrate machine learning models into OneRail’s flagship product, taking ML-powered features from prototypes to production. The role spans back-end services and React-based front-end components, using TypeScript, Python, and REST APIs.
Wymagania
- 3+ years of professional full-stack development experience, with 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 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.
- Strong 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 to support low-latency, high-throughput ML inference.
- Version, document, and maintain API contracts for internal and external consumers.
- Build microservices using Python (FastAPI/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 data science, product, and QA teams to translate ML requirements into production features.
- Promote code quality, API versioning strategies, and thorough documentation.
Benefity
- Sport subscription.
- Training budget and in-house trainings.
- Private healthcare.
- Free coffee, beverages, snacks, and lunch.
- Bike parking and free parking.
- Playroom.
- In-house hack days.
Karta sportowa
Dofinansowanie szkoleń
Opieka zdrowotna
Parking dla rowerów
Napoje w biurze
Darmowe przekąski
Parking dla aut
Szkolenia wewnętrzne
OneRail Poland Sp. z o.o.
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