Machine Learning Application Engineer
RESEARCH PARK BUILDING 1 (ARLIS), United States
USD 80K-110K Senior-level Full Time
Tasks
- Build end-to-end machine learning systems
- Build front end using FastAPI and React
- Build full stack applications using MERN
- Collaborate with interdisciplinary teams
- Deploy and maintain machine learning systems
- Develop interactive ML enabled applications
- Develop machine learning models
- Develop requirements for backend engineering
- Evaluate model performance
- Implement CI/CD pipelines
- Monitor data quality and model performance
- Orchestrate ML workflows
- Package models for deployment
- Prepare technical deliverables for stakeholders
- Prototype backend data stores and retrieval patterns
- Select and curate training data
- Support research proposals and work plans
Perks/Benefits
- N/A
Skills/Tech-stack
CI/CD | Computer Vision | Data Curation | Data Quality | Data quality monitoring | Database Design | Docker | Elasticsearch | FastAPI | Git | Language Processing | Machine Learning | Model Monitoring | MongoDB | Natural Language | Natural Language Processing | PGVector | PostgreSQL | PyTorch | Quality monitoring | React | SciPy | Scikit-learn | Vite | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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