ETIC, AI Engineer - Senior Associate
Tasks
- Build Retrieval Augmented Generation systems
- Collaborate with cross-functional teams
- Deploy models to cloud infrastructure
- Design machine learning pipelines
- Develop and optimize machine learning models
- Document engineering standards
- Evaluate model performance
- Expose models via REST APIs
- Fine-tune foundation models
- Generate synthetic data
- Implement model monitoring
- Integrate vector databases
- Review code and enforce Git best practices
- Track model lifecycle with MLOps tools
Perks/Benefits
- N/A
Skills/Tech-stack
AI Services | AWS | AWS SageMaker | Agile | Azure | Azure AI | Azure AI Services | CI/CD | Cloud platform | Deep learning | Docker | Faiss | FastAPI | Flask | Google Cloud | Google Cloud Platform | Google Vertex | Google Vertex AI | Hugging Face | Hugging Face Transformers | Instruction Tuning | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | LoRA | MLflow | Machine Learning | Model Monitoring | PEFT | Prompt engineering | PyTorch | Python | Qdrant | RAG | Retrieval-Augmented Generation | Scikit-learn | Synthetic data | TensorFlow | Vector Databases | Vertex AI | Weaviate | Weights and Biases
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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