Principal AI/ML Engineer (Large Language Model)
Tasks
- Analyze multi domain datasets to build predictive models
- Apply computer vision and natural language processing algorithms
- Build Retrieval Augmented Generation systems
- Collaborate with leadership to communicate technical status
- Deploy LLM solutions on cloud and local infrastructure
- Fine-tune foundation models
- Implement LLM frameworks for custom applications
- Lead and mentor interdisciplinary teams
- Lead machine learning algorithm development
- Review research publications for state of the art techniques
Perks/Benefits
- Continuing education
- Family support
- Flexible time off
- Healthcare
- Learning resources
- Retirement benefits
- Time off benefits
- Wellness
Skills/Tech-stack
AWS | BERT | CUDA | Computer Vision | Docker | Dspy | EC2 | Faster-RCNN | Fine Tuning | GPU Computing | Huggingface | Keras | Kubernetes | Lambda | Langchain | Language Models | Language Processing | Large Language Models | Linux | Machine Learning | Natural Language | Natural Language Processing | NumPy | Object Detection | OpenCV | Pandas | Pinecone | Prompt engineering | PyTorch | Python | React | Reinforcement Learning | Retrieval-Augmented Generation | S3 | Scikit-learn | TensorFlow | Transfer Learning | Transformers | VLLM | Vector Databases | Weaviate | YOLO
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Principal | Principal AI/ML Engineer
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