Gen AI Engineer
GA-ATLANTA, 740 W PEACHTREE ST NW, United States
USD 112K-167K (estimate) Mid-level Full Time
Tasks
- Analyze organizational data for AI insights
- Apply ETL to connect large data sets
- Build RAG-architectures
- Deploy machine learning models to production
- Design and develop custom ML Gen AI NLP LLM models for batch and stream pipelines
- Develop and fine-tune LLMs
- Develop model evaluation solutions with MLOps
- Ensure ML governance and model and data governance standards
- Implement data ingestion and preprocessing modules
- Monitor model performance accuracy reliability and consistency
- Optimize model performance and system efficiency
Perks/Benefits
- 401k match
- Dental insurance
- Life insurance
- Medical insurance
- Paid Holidays
- Paid time off
- Vision insurance
- Wellness programs
Skills/Tech-stack
AWQ | AWS | AWS ECS | AWS EKS | Agile | Agile Framework | Azure | Azure AKS | BitsAndBytes | CI/CD | Canary deployments | Cloud platform | Docker | FastAPI | Fine Tuning | GPTQ | Generative AI | Google Cloud | Google Cloud Platform | Google Kubernetes | Google Kubernetes Engine | Hugging Face | Keras | Kubernetes | Kubernetes Engine | LLM Caching | LLM Deployment | LLM Fine-tuning | Language Models | Language Processing | Large Language Models | Machine Learning | Model Quantization | Natural Language | Natural Language Processing | Pipeline parallelism | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Scaled Agile | Scaled Agile Framework | Spark | Tensor Parallelism | TensorFlow | Text Generation | Text generation inference | VLLM
Education
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