AI Foundational Model Engineer
Tasks
- Apply security privacy and responsible AI controls
- Build RAG pipelines
- Conduct model evaluation and fine-tuning
- Create production documentation and runbooks
- Deploy model serving integrations
- Design LLM-powered applications
- Develop scalable APIs and microservices
- Implement LLM model adaptation
- Implement model observability and monitoring
- Optimize model inference performance
Perks/Benefits
- 401k match
- Dental insurance
- Employee assistance program
- Flexible spending account
- Health savings account
- Life insurance
- Long-term disability
- Medical insurance
- Paid time off
- Short-term disability
- Vision insurance
Skills/Tech-stack
API Development | CI/CD | Cloud Native | Docker | Embeddings | Hugging Face | Inference Optimization | Instruction Tuning | Kubeflow | Kubernetes | Langchain | Llamaindex | LoRA | MLflow | Microservices | Model Evaluation | Monitoring | Observability | PEFT | Prompt engineering | PyTorch | Python | Quantization | Reranking | Retrieval-Augmented Generation | Semantic Retrieval | Semantic Search | TensorFlow | Token efficiency | Transfer Learning | Transformers | Triton | VLLM | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | MLOps Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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