Applied AI / ML Engineer
A USD 150K-225K (estimate) Mid-level Full Time
Tasks
- Build machine learning infrastructure for production document processing
- Collaborate with domain experts to define quality thresholds
- Deploy machine learning models into production systems
- Design and optimize inference systems
- Develop dataset pipelines
- Develop expert systems for domain knowledge
- Integrate inference pipelines into end to end product experience
- Run ML experiments and iterate on metrics
Perks/Benefits
Skills/Tech-stack
AWS | Agents | Amazon S3 | Cloud Storage | Cloud platform | Dataset Pipelines | Deep learning | Django | Docker | Document Understanding | Experimentation | Flask | Google Cloud | Google Cloud Platform | Google Cloud Storage | Inference Optimization | Keras | Kubernetes | LLM APIs | Language Processing | 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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