AI Engineer
Tasks
- Build vector database and semantic search systems
- Collaborate with clients to define business goals
- Deploy AI systems using MLOps and LLMOps
- Design and build machine learning and LLM solutions
- Develop embeddings and retrieval frameworks
- Fine-tune language models
- Implement rag pipelines
- Integrate enterprise knowledge bases using vector DBs
- Structure and process unstructured data
Perks/Benefits
Skills/Tech-stack
Agile | Amazon Web Services | Azure | Embeddings | Google Cloud | LLMOps | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Machine Learning | Natural Language | Natural Language Processing | Python | Retrieval-Augmented Generation | Semantic Search | Vector Database | Web Services
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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