Related skills
gitlab terraform aws python pytorch📋 Description
- AI Architecture: Design scalable AI systems linking models, data, products.
- Model Integration: Convert research prototypes to production services.
- Data & Orchestration: Build pipelines powering real-time features.
- Collaboration: Partner with other engineering teams for performance and reliability.
- Frameworks: Create reusable SDKs/libraries to accelerate AI adoption.
- Excellence: Observability, testing, and secure coding focus.
🎯 Requirements
- 5+ years building and operating large-scale cloud-native or SaaS systems (AWS).
- Proficiency in Python and API frameworks (FastAPI/Flask).
- CI/CD pipelines and infrastructure-as-code (GitLab, Terraform).
- Production AI/ML features (RAG, orchestration, embeddings).
- Commitment to reliability, testability, maintainability.
- Bonus: LangChain, PyTorch; data tools PySpark/Polars.
🎁 Benefits
- Base pay $140,000 - $180,000 USD.
- Remote US-friendly role with global impact.
- Company bonuses, tuition/certification reimbursement.
- Impact across 70,000+ organizations.
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