AI Engineer
USD 129K-188K (estimate) Senior-level Full Time
Tasks
- Apply data lake architecture
- Apply re ranking strategies
- Build RAG pipelines
- Containerize applications with Docker
- Deploy AI services on Kubernetes
- Deploy production grade AI services
- Design AI applications
- Develop LLM-powered applications
- Develop cloud-based AI solutions
- Ensure MLOps productionization
- Fine tune generation strategies
- Fine tune retrieval strategies
- Implement hybrid search
- Implement semantic search
- Perform Named Entity Recognition
- Use Apache Spark for big data processing
- Use embeddings and vector databases
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Azure | Cloud platform | Data Lake | Docker | Embeddings | Entity recognition | Google Cloud | Google Cloud Platform | Hybrid search | Kubernetes | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Microservices | Named Entity Recognition | Natural Language | Natural Language Processing | Prompt engineering | Python | Re-ranking | Retrieval-Augmented Generation | Semantic Search | Vector Databases | Vector Retrieval
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer
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