Senior Machine Learning Scientist
Tasks
- Automate testing for AI releases
- Build MLOps LLMOps pipelines
- Build production AI services
- Build reusable templates and reference architectures
- Coach team members
- Conduct code reviews and design reviews
- Create infrastructure as code patterns
- Deploy production AI services
- Design production AI services
- Develop ML inference pipelines
- Develop reusable engineering assets
- Develop web APIs for model serving
- Document service ownership and controls
- Implement non-functional requirements
- Implement observability for AI services
- Integrate data and AI pipelines
- Manage model and versioning
- Monitor model performance
- Operate production AI services
- Package and promote model releases
- Perform quality and drift checks
- Productionise PoC and PoV solutions
- Set actionable alerting
Perks/Benefits
- N/A
Skills/Tech-stack
API serving | Automated testing | Batch inference | CI/CD | Data Pipelines | Deep learning | Docker | FastAPI | Flask | Inference | Infrastructure as Code | Kubernetes | LLMOps | Logging | MLOps | Machine Learning | Metrics | Model Packaging | Model versioning | Monitoring | Observability | PostgreSQL | PyTorch | Python | SHAP | SQL Server | Stream inference | TensorFlow | Tracing | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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