Software Engineer (Python) - AutoDL
⚲ Kraków
28 300–40 000 zł brutto / mies.
Wymagania
- Python
Opis stanowiska
Nasze wymagania:
Experience with deep learning in production, including inference optimisation and working with transformer-based models or similar DL architectures
Hands-on experience with GPU-heavy workloads (memory management, performance tuning for large-scale models)
A degree in a STEM subject or equivalent
A solid foundation in computer science principles
A track record of designing and operating scalable backend systems in production environments
Proficiency in Python as your primary language, with command of additional programming languages
Expertise in distributed systems and modern infrastructure practices, like containerisation and orchestration
O projekcie:
Our Technology team builds the systems and experiences that keep Revolut moving. From the infrastructure behind our innovative app to the features used by millions of people around the world, they bring sharp thinking, speed, and a focus on meaningful impact to everything they do.
We’re looking for a Python Engineer who can write high-quality code and build automated solutions for heavily regulated financial systems.
As part of the AI team that's driving innovation and powering products, you'll be developing the core infrastructure behind our central platform that empowers our scientists and engineers to solve tomorrow's challenges today.
Up to shape what's next in finance? Let's get in touch.
Zakres obowiązków:
Improving GPU utilisation and performance across large-scale workloads
Ensuring low-latency, high-throughput predictions in production environments
Designing, building, and maintaining scalable services that support the AI lifecycle
Building the core infrastructure behind AutoDL, enabling automated training and deployment of ML models
Developing infrastructure and APIs that integrate third-party services and grow with the business
Implementing and managing robust CI/CD pipelines to validate, deploy, and monitor a diverse range of models
Establishing the backbone for AI governance and reproducibility
Designing systems for real-time inference on high-load ML use cases
Building scalable pipelines for event-driven data (e.g., behavioural, transactional streams)
Oferujemy:
Financial benefits that show we value your work
Medical insurance for you and your close ones
Flexibility to work from home, the office or abroad
A free Revolut Metal subscription loaded with perks
Exciting events year-round so you can get to know your team
Experience with deep learning in production, including inference optimisation and working with transformer-based models or similar DL architectures
Hands-on experience with GPU-heavy workloads (memory management, performance tuning for large-scale models)
A degree in a STEM subject or equivalent
A solid foundation in computer science principles
A track record of designing and operating scalable backend systems in production environments
Proficiency in Python as your primary language, with command of additional programming languages
Expertise in distributed systems and modern infrastructure practices, like containerisation and orchestration
O projekcie:
Our Technology team builds the systems and experiences that keep Revolut moving. From the infrastructure behind our innovative app to the features used by millions of people around the world, they bring sharp thinking, speed, and a focus on meaningful impact to everything they do.
We’re looking for a Python Engineer who can write high-quality code and build automated solutions for heavily regulated financial systems.
As part of the AI team that's driving innovation and powering products, you'll be developing the core infrastructure behind our central platform that empowers our scientists and engineers to solve tomorrow's challenges today.
Up to shape what's next in finance? Let's get in touch.
Zakres obowiązków:
Improving GPU utilisation and performance across large-scale workloads
Ensuring low-latency, high-throughput predictions in production environments
Designing, building, and maintaining scalable services that support the AI lifecycle
Building the core infrastructure behind AutoDL, enabling automated training and deployment of ML models
Developing infrastructure and APIs that integrate third-party services and grow with the business
Implementing and managing robust CI/CD pipelines to validate, deploy, and monitor a diverse range of models
Establishing the backbone for AI governance and reproducibility
Designing systems for real-time inference on high-load ML use cases
Building scalable pipelines for event-driven data (e.g., behavioural, transactional streams)
Oferujemy:
Financial benefits that show we value your work
Medical insurance for you and your close ones
Flexibility to work from home, the office or abroad
A free Revolut Metal subscription loaded with perks
Exciting events year-round so you can get to know your team
🔍 Dekoder Ogłoszenia
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Experience with deep learning in production, including inference optimisation and working with transformer-based models or similar DL architectures
Oczekuje się praktycznego doświadczenia w wdrażaniu i optymalizacji modeli uczenia głębokiego na produkcji, a nie tylko teoretycznej wiedzy.
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Hands-on experience with GPU-heavy workloads (memory management, performance tuning for large-scale models)
Praca będzie intensywnie wykorzystywać zasoby GPU, co wymaga umiejętności zarządzania pamięcią i optymalizacji wydajności dla dużych modeli.
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A track record of designing and operating scalable backend systems in production environments
Szukają osoby, która ma udokumentowane sukcesy w tworzeniu i utrzymywaniu systemów backendowych, które potrafią obsłużyć duży ruch i obciążenie.
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We’re looking for a Python Engineer who can write high-quality code and build automated solutions for heavily regulated financial systems.
Oprócz umiejętności programistycznych, kluczowe jest zrozumienie specyfiki pracy w branży finansowej, gdzie obowiązują ścisłe regulacje i wysokie standardy jakości kodu.
🟡
As part of the AI team that's driving innovation and powering products, you'll be developing the core infrastructure behind our central platform that empowers our scientists and engineers to solve tomorrow's challenges today.
Rola polega na budowaniu fundamentów technologicznych dla zespołu AI, co może oznaczać pracę nad narzędziami i platformami, a nie bezpośrednio nad produktami końcowymi dla użytkowników.