Applied AI / ML Engineer
Connecticut, Connecticut, United States
A USD 150K-225K (estimate) Mid-level Full Time
Tasks
- Build and scale ML infrastructure for document processing
- Collaborate with product and engineering to define technical direction
- Design and optimize inference systems
- Develop dataset pipelines
- Develop expert systems for tax knowledge
- Improve accuracy speed and quality
- Integrate inference pipelines end to end
- Run ML experiments and measure outcomes
Perks/Benefits
Skills/Tech-stack
AWS | Agents | Amazon S3 | Artificial Intelligence | Cloud Storage | Django | Docker | Document Understanding | Flask | GCP | Google Cloud | Google Cloud Storage | Keras | Knowledge graphs | 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
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