Senior AI/Data Platform Engineer (GCP, AI & GenAI Platforms)
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SeniorFull-time
#388995·Dodano wczoraj·0
Źródło: nofluffjobs.comTech Stack / Keywords
PythonData engineeringAIGoogle Cloud PlatformMachine learningBigQueryRAGGenAISQLVertex AIAzureAWS
Firma i stanowisko
Join our dynamic team building cloud-native AI data platforms that power analytics, machine learning, and GenAI solutions across global, multi-industry programs.
Wymagania
- 5+ years of experience in Data Engineering or AI data platform roles
- Strong hands-on experience with Google Cloud Platform
- Deep experience with BigQuery and cloud-native data architectures
- Strong programming skills in Python, SQL, or similar languages
- Practical understanding of AI, ML, and GenAI data requirements
- Experience operating production data platforms at enterprise scale
Nice to have:
- Experience with Vertex AI and managed ML services
- Familiarity with streaming technologies (e.g., Pub/Sub, Dataflow streaming)
- Multi-cloud experience (AWS, Azure, and GCP)
- Experience in consulting or complex, multi-project environments
Obowiązki
Design and operate GCP-based data platforms:
- Design and operate data platforms on Google Cloud Platform for analytics, ML, and GenAI
- Build scalable data pipelines using BigQuery, Cloud Storage, Dataflow, Dataproc, or equivalents
- Design data architectures supporting high-performance AI and ML workloads
- Integrate structured and unstructured data sources at enterprise scale
AI & GenAI enablement:
- Enable GenAI use cases such as RAG, semantic search, and AI agents on GCP
- Implement embedding pipelines and vector search solutions (e.g., BigQuery, Vertex AI, or vector databases)
- Collaborate with ML engineers and data scientists to support end-to-end AI workflows
- Support deployment and operation of AI workloads using Vertex AI or equivalent services
Platform reliability & optimization:
- Monitor and optimize performance, scalability, and cost of GCP data platforms
- Implement CI/CD, data quality, and observability practices
- Contribute to platform standards, reference architectures, and best practices
Benefity
- Full-time employment with competitive salary
- Flexible hours: start between 7:30 and 10:00 AM
- Comprehensive benefits including Lux Med medical care, psychological support, life insurance
- Access to My Benefit cafeteria system and Multisport card co-financing
- Car/bike park sharing system
- Co-financed holidays ("Wczasy pod Gruszą")
- Global projects
- Access to diverse employee networks
- Continuous learning through Graduate Development Program, Learners’ Community, and self-learning platforms
- Language courses in English, German, and Polish
Elastyczne godziny
Karta sportowa
Opieka zdrowotna
Ubezpieczenie
Kursy językowe
Inne informacje
As a Disability Confident employer, all disabled applicants who meet the vacancy criteria will be interviewed. Reasonable adjustments for the recruitment process are available upon request.
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