Senior AI Engineer
Tasks
- Architect and implement distributed systems
- Build ETL pipelines and integrations for training and inference
- Build and optimize RAG pipelines
- Collaborate to deliver AI-driven features
- Deploy and manage containerized applications
- Design build maintain scalable AI backend systems
- Develop and deploy LLM powered solutions
- Ensure reliability observability and security
Perks/Benefits
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud Native | Data Pipelines | Distributed Systems | Docker | ETL | Hugging Face | Java | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | MLflow | Microservices | NLTK | Natural Language | Natural Language Processing | NoSQL | Python | Retrieval-Augmented Generation | SQL | Spacy | TensorFlow Serving
Education
N/A
Roles
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