Senior AI LLM Data Scientist/Engineer
Tasks
- Build tools scripts dashboards for model cost and throughput
- Collaborate with MLOps for training and inference pipelines in cloud
- Deploy and evaluate document understanding models
- Explore LLM evaluation approaches including LLM as a Judge and word token bounding box detection
- Integrate LLMs into internal AI gateway
- Optimize open source LLM inference speed
- Present findings to technical and non-technical audiences
- Train and fine tune models for layout analysis transcription entity recognition relation extraction and summarization
Perks/Benefits
- Flexible work schedule
- Foreign business trips
- Free English classes
- Health insurance
- Modern office facilities
- No bureaucracy
- On-site parking
- Paid vacation
- Professional growth support
- Remote work flexibility
- Sports activities
Skills/Tech-stack
AWS | AWS Lambda | Amazon SageMaker | Cost estimation | Data Science | Document Understanding | EC2 | Entity Extraction | Entity Linking | Entity recognition | LLM integration | Language Models | Large Language Models | Layout analysis | MLOps | Machine Learning | Model Evaluation | Model Optimization | Python | Relation extraction | S3 | SGLang | Speech Recognition | Summarization | Throughput Optimization | Tokenization | VLLM
Education
N/A
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