Senior AI/ML Engineer
Tasks
- Build embedding pipelines and vector search solutions
- Collaborate with backend and frontend teams to integrate AI features
- Deploy and monitor machine learning solutions in cloud environments
- Design AI powered applications using large language models
- Develop retrieval augmented generation pipelines for document search and conversational AI
- Evaluate and optimize machine learning models
- Integrate LLM APIs into production applications
- Monitor and improve AI system performance scalability and reliability
Perks/Benefits
- N/A
Skills/Tech-stack
AI Services | Azure AI | Azure AI Services | Azure OpenAI | Embeddings | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Model Evaluation | Model Optimization | Pinecone | Python | Qdrant | REST APIs | Retrieval-Augmented Generation | Semantic Search | Vector Database | Vector Search | Weaviate
Education
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