AI Engineer
Tasks
- Apply DevOps and LLMOps practices
- Build scalable AI platforms
- Deliver end to end AI solutions to production
- Design distributed training and serving for LLMs
- Design machine learning pipelines
- Design model inference APIs
- Evangelize AI platforms with customers and stakeholders
- Explain AI design choices to technical and business audiences
- Fine-tune and optimize LLMs
- Implement model A B testing
- Lead cross functional engineering discussions
- Orchestrate LLM workflows using orchestration frameworks
- Present AI strategies and results to executives
- Reduce training and resource requirements for fine tuning
- Run quick experimentation and fail fast testing
- Serve as subject matter expert in LLM serving
- Track emerging AI research and frameworks
- Translate research into production improvements
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | API Design | Accuracy Optimization | Amazon SageMaker | Azure AI | B testing | Container Orchestration | Data parallelism | Deep learning | DeepSpeed | DevOps | Distributed Training | Docker | Experiment Management | Feature management | Fine Tuning | Flowise | GPU Architecture | Kubernetes | LLM serving | LLMOps | LangFlow | Langgraph | Latency optimization | MLflow | Machine Learning | Model Fine-tuning | Model Inference | Model Management | Model Orchestration | Model Parallelism | Model retraining | VLLM | Vertex AI
Education
N/A
Roles
AI | AI Engineer | Engineer
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