AI Engineer - NY
United States
USD 40K-141K Mid-level Full Time Found 10d ago
Tasks
- Apply model optimization techniques
- Conduct real-time inference
- Configure cloud platforms
- Deploy and serve models
- Develop AI/ML models
- Familiar with distributed training
- Fine-tune LLMs
- Implement MLOps pipelines
- Implement prompt engineering and multi-agent systems
- Optimize models
- Process data
- Research NLP/CV tasks
- Utilize versioning tools
Perks/Benefits
Skills/Tech-stack
AWS | Agent systems | Airflow | Azure | CI/CD | CV | Chroma | DVC | Deep learning | Distributed Training | Faiss | FastAPI | GCP | GPU Acceleration | Generative AI | Hugging Face | JAX | Keras | LoRA | MLflow | Machine Learning | Model Quantization | Multi-Agent | Multi-Agent Systems | NLP | NumPy | PEFT | Pandas | Pinecone | Predictive Modeling | Prompt engineering | PyTorch | Python | QLoRA | RAG Frameworks | Spark | Statistics | TensorFlow | TensorFlow Serving | Torchserve | Triton
Education
Bachelor's | Master's | PhD
Roles
Language: en |
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