Applied AI / ML Engineer
San Antonio, Texas, United States
A USD 150K-225K (estimate) Mid-level Full Time
Tasks
- Build and scale machine learning infrastructure
- Build dataset pipelines
- Collaborate with domain experts to define quality thresholds
- Deploy machine learning systems in production
- Design and optimize inference systems
- Develop expert systems for tax knowledge
- Improve accuracy speed and quality
- Integrate inference pipelines into end to end workflows
- Run machine learning experiments and measure outcomes
Perks/Benefits
Skills/Tech-stack
AWS | Agents | Computer Vision | Data Pipelines | Deep learning | Django | Docker | Document Understanding | Flask | GCP | GCS | Inference Systems | Kubernetes | LLM | LLM APIs | Language Processing | Machine Learning | Natural Language | Natural Language Processing | OCR | Pandas | PostgreSQL | Prompt engineering | PyTorch | Python | S3 | SQL | Scikit-learn | Spacy | TensorFlow
Education
N/A
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