Gen AI Engineer
GA-ATLANTA, 740 W PEACHTREE ST NW, United States
USD 79K-119K (estimate) Mid-level Full Time
Tasks
- Analyze organizational data
- Apply ML governance and best practices
- Build RAG pipelines
- Deploy ML models to production
- Design search and retrieval systems
- Develop NLP and Gen AI models
- Develop batch and stream ML pipelines
- Develop fine-tune LLMs
- Evaluate model performance and accuracy
- Extract transform load data
- Implement model optimizations
- Integrate with MLOps and software engineering
Perks/Benefits
- 401k match
- Financial education resources
- Health, dental, vision insurance
- Hybrid work schedule
- Incentive bonus programs
- Life insurance
- Long-term disability
- Paid Holidays
- Paid time off
- Short-term disability
- Stock purchase plan
- Wellness programs
Skills/Tech-stack
AWS | Amazon Elastic Container Service | Amazon Elastic Kubernetes Service | Azure | Azure Kubernetes | Azure Kubernetes Service | Azure Kubernetes Service EKS | BitsAndBytes | Canary Deployment | Containerization | Data Ingestion | Data Preprocessing | Docker | Elastic Container Service | Elastic Kubernetes Service | FastAPI | Fine Tuning | GCP | GPU Optimization | Generative AI | Google Kubernetes | Google Kubernetes Engine | Hugging Face | Hugging Face Transformers | Keras | Kubernetes Engine | Kubernetes Service | LLM Caching | LLM serving | Language Models | Language Processing | Large Language Models | Machine Learning | Model Fine-tuning | Model Quantization | Natural Language | Natural Language Processing | Pipeline parallelism | Prompt engineering | PyTorch | Python | RAG Architecture | Retrieval-Augmented Generation | SQL | Spark | Tensor Parallelism | TensorFlow | Text Generation | Text generation inference | VLLM | Vector Search
Education
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