Sr. AI Engineer
Tasks
- Architect develop generative AI and RAG solutions
- Collaborate with cross-functional teams and mentor engineers
- Define technical and business metrics
- Deploy models to production on cloud using containers
- Design train and evaluate ML and deep learning models
- Fine-tune LLMs for domain tasks
- Implement vector stores embeddings and retrieval techniques
- Monitor model drift and performance and retrain
- Optimize models using quantization
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | AWS | Azure | Azure AI | Azure AI Search | BERT | C++ | CI/CD | Docker | Embeddings | Faiss | GPT | Google Cloud | Hugging Face | INT8 | Java | Kubernetes | Langchain | Llamaindex | LoRA | MLflow | PEFT | Pandas | Pinecone | PyTorch | Python | Quantization | Qubeflow | RAG | SFT | Scikit-learn | T5 | TensorFlow | Transformer | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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