Staff AI Engineer
Tasks
- Apply containerization and cloud infrastructure best practices
- Build CI/CD pipelines and automation
- Conduct root cause analysis for production defects
- Design ML system architecture
- Develop inference services
- Implement monitoring alerting logging and dashboards
- Integrate LLMs and NLP solutions
- Maintain non functional requirements and operational SLAs
- Mentor engineers and enforce technical standards
- Own end-to-end ML lifecycle
- Transition AI prototypes to production systems
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Algorithms | Amazon SageMaker | Azure | CI/CD | Data Structures | DevOps | Distributed Systems | Docker | Elasticsearch | Embeddings | Generative AI | Hugging Face | Infrastructure as Code | Java | Kubeflow | Kubernetes | LLM | Language Processing | MLOps | MLflow | Machine Learning | NLP | Natural Language | Natural Language Processing | Networking | Observability | Operating Systems | PyTorch | Python | System design | TensorFlow | Tokenization | Vector Databases | “as-code”
Education
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