Gen AI Engineer
GA-ATLANTA, 740 W PEACHTREE ST NW, United States
USD 92K-134K (estimate) Mid-level Full Time
Tasks
- Build NLP and Gen AI models
- Collaborate with MLOps and engineers
- Deploy machine learning models
- Design and implement RAG pipelines
- Develop and fine-tune LLMs
- Develop batch and stream processing pipelines
- Develop preprocessing modules
- Ensure model governance and data governance
- Evaluate model performance
- Extract data
- Implement search and retrieval
- Monitor model accuracy and consistency
- Optimize model efficiency
- Transform and load data
Perks/Benefits
- N/A
Skills/Tech-stack
AWQ | AWS | Agile | Agile frameworks | Amazon ECS | Amazon EKS | Azure | Azure Kubernetes | Azure Kubernetes Service | BitsAndBytes | Canary Deployment | Docker | FastAPI | GCP | GPTQ | GPU Memory Optimization | GPU memory | Generative AI | Google Kubernetes | Google Kubernetes Engine | Hugging Face | Keras | Kubernetes Engine | Kubernetes Service | LLM Caching | Language Models | Language Processing | Large Language Models | Machine Learning | Memory Optimization | Natural Language | Natural Language Processing | Pipeline parallelism | PyTorch | Python | Quantization | RAG | Retrieval-Augmented Generation | SQL | Scaled Agile | Scaled Agile Frameworks | Spark | Tensor Parallelism | TensorFlow | Text Generation | Text generation inference | VLLM
Education
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