4 месяца назад
MLOps Engineer (CX) (Python)
250PLN
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
MLOps Engineer (CX) (Python/Kubernetes): Architecting and managing scalable cloud infrastructure for AI/ML production systems with an accent on container orchestration and automated testing. Focus on translating experimental models into robust production-ready systems and establishing CI/CD pipelines for ML workloads.
Location: Hybrid in Warsaw, Poland
Salary: 250 PLN/H net + VAT
Company
An IT services provider that matches global client needs with the skills and aspirations of a diverse community of consultants.
What you will do
- Architect and manage scalable cloud infrastructure workloads, including container orchestration and automated testing.
- Partner with data scientists and research teams to translate experimental models into production-ready systems.
- Establish infrastructure as code, CI/CD pipelines, automated deployments, and comprehensive logging/monitoring.
- Design and implement scalable data infrastructure solutions using distributed computing frameworks like Apache Spark.
- Build and optimize data lake architectures to ensure high performance and data governance across large datasets.
Requirements
- 5+ years of professional experience after higher education.
- Advanced Python programming experience with web frameworks (FastAPI, Flask) and testing frameworks.
- Hands-on expertise with major cloud platforms (AWS, GCP, or Azure) and Kubernetes services (EKS/GKE/AKS).
- Proven experience collaborating with data science or research teams to productionize code.
- Strong foundation in software architecture, async programming, version control, and concurrent system design.
- English: B2 minimum required.
Nice to have
- Experience with ML libraries such as PyTorch, scikit-learn, and numpy.
- Ability to design and maintain end-to-end ML pipelines from ingestion to monitoring.
- Proficiency with MLOps tools (MLflow, Kubeflow), inference engines (vLLM, SGLang), and Ray.io.
- Experience with managed ML services like SageMaker or Vertex AI.
Culture & Benefits
- Opportunity to work on local and international projects across France, Germany, Portugal, UK, and Benelux.
- Professional development budget of up to 2,000 PLN for trainings, certificates, and language classes.
- Referral bonuses ranging from 6,000 to 10,000 PLN.
- Comprehensive benefits including Medicover healthcare, Wellbee platform, and Multisport card.
- Regular integration events, gifts, and a corporate Mobility Program.
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