Applied AI / ML Engineer
California, California, United States
A USD 150K-225K (estimate) Mid-level Full Time
Tasks
- Build ML and product infrastructure
- Collaborate with domain experts
- Deploy ML models and services
- Design inference systems
- Develop expert systems for tax knowledge
- Drive ML experiments and iterate
- Improve accuracy speed and quality
- Integrate inference pipelines into end to end workflow
- Measure outcomes and iterate on ML metrics
- Optimize dataset pipelines
Perks/Benefits
Skills/Tech-stack
AWS | Cloud platform | Deep learning | Django | Docker | Document Understanding | Flask | GCS | Google Cloud | Google Cloud Platform | Keras | Kubernetes | LLM API | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | OCR | Pandas | PostgreSQL | Prompt engineering | PyTorch | Python | S3 | SQL | Scikit-learn | Spacy | TensorFlow
Education
N/A
Roles
AI/ML Engineer | Applied AI/ML Engineer | Engineer | ML Engineer
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