Applied AI / ML Engineer
San Francisco, California, United States
A USD 150K-240K (estimate) Mid-level Full Time
Tasks
- Build and scale machine learning systems
- Build dataset pipelines
- Collaborate with product and engineering to define technical direction
- Design and optimize inference systems
- Develop document understanding models
- Encode domain knowledge into expert systems
- Improve accuracy speed and quality
- Integrate inference pipelines into end to end workflows
- Run ML experiments and measure outcomes
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agents | Amazon S3 | Cloud Storage | Cloud platform | Django | Docker | Document Understanding | Flask | Google Cloud | Google Cloud Platform | Google Cloud Storage | Keras | Kubernetes | LLM APIs | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | OCR | Pandas | PostgreSQL | Prompt engineering | PyTorch | Python | SQL | Scikit-learn | Spacy | TensorFlow
Education
N/A
Regions
Countries
States
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