Software Engineer - Machine Learning
Tasks
- Analyze data coverage and statistics
- Build generative AI products
- Code test and deploy machine learning models
- Conduct data quality analysis
- Create automated dashboards
- Design machine learning pipelines
- Develop AI using LLMs
- Enable continuous delivery
- Follow agile software development
- Implement self-service reporting tools
- Practice test-driven development
- Prototype proofs-of-concept
- Support you build it you run it operations
Perks/Benefits
- Community Café volunteering
- Community grants
- Flexible leave
- Flexible parental leave
- Hackdays
- Hybrid work
- Matched payroll giving
- Paid volunteer programs
- Volunteering leave
Skills/Tech-stack
AWS | Agile | Azure | C# | CI/CD | Cloud platform | Continuous Delivery | Data Analysis | Data Quality | Data cleaning | Deep learning | FastAPI | Flask | Generative AI | Google Cloud | Google Cloud Platform | Infrastructure as Code | JavaScript | Keras | LLMs | LightGBM | Machine Learning | Pair Programming | PyTorch | Python | R | SQL | Scikit-learn | Series forecasting | Test-Driven | Test-Driven Development | Time Series | Time Series Forecasting | Transformers | XGBoost | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Regions
Countries
States
Cities
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