Machine Learning Engineer for NATO with security clearance
Tasks
- Apply machine learning and AI techniques
- Build and maintain ML and AI models
- Build and maintain ML pipelines
- Build integration modules for ML solution releases
- Conduct code reviews and design reviews
- Define metrics and acceptance criteria
- Deploy and monitor ML services via REST APIs
- Deploy automation for build and release processes
- Design and select lifecycle practices
- Develop and maintain programs and scripts for ML deployment
- Elicit ML and AI lifecycle requirements
- Evaluate and monitor model performance
- Follow engineering standards and best practices
- Identify issues in models pipelines and datasets
- Maintain data pipelines using ETL ELT
- Monitor progress and report risks
- Recommend and implement model and data improvements
- Validate completed ML modules against requirements
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Argo Workflows | Artificial Intelligence | CI/CD | Cloud infrastructure | Containerization | Data Pipelines | Docker | ETL/ELT | Experiment tracking | Generative AI | Git | Kubernetes | LLM | MLOps | Machine Learning | Metrics | Model Evaluation | Model Monitoring | Model Packaging | NoSQL | Python | REST API | SQL
Education
N/A
Regions
Countries
States
Cities
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