Data Scientist – AI Applications Engineer
Tasks
- Apply version control testing and documentation practices
- Build AI workflow components for process development
- Clean transform and integrate scientific data
- Develop maintainable Python code for pipelines and services
- Document data sources methods assumptions limitations and test evidence
- Evaluate model performance against acceptance criteria
- Implement Retrieval Augmented Generation components
- Implement machine learning models
- Run benchmarks and perform error analysis
- Support agile backlog refinement and demonstrations
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Automation | Benchmarking | Cloud Computing | Code review | Data Preparation | Data cleaning | Data integration | Decision support | Documentation | Error Analysis | Generative AI | Machine Learning | Performance Metrics | Python | Reproducible Workflows | Retrieval-Augmented Generation | Testing | Train Test Split | Train/Test | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Data Scientist | Engineer | Scientist
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