Spektrum is looking to add talent to support key client projects, specifically within Allied Command Transformation (ACT), NATO's leading agent for change. The role involves contributing to the development and implementation of an enabling data science and AI capability at HQ SACT and for the NATO Enterprise, particularly in the context of the Data Exploitation Framework and Programme.
Requirements
- Experience in modern software architecture and software development related to data science, analytics, and AI, e.g., Python, SQL, R.
- Experience with machine learning and AI frameworks, using e.g., TensorFlow, PyTorch, scikit-learn, or other modern machine learning frameworks.
- Experience with planning, executing, and maintaining data science pipelines.
- Experience visualizing data and producing high-quality graphs and reports, charts, and interactive dashboards using tools such as Tableau, MS Power BI, Kibana.
- Ability to work in a cloud environment, particularly Microsoft Azure or Amazon Web Services.
- Experience working within a Big Data ecosystem, with tools such as Databricks, Spark, etc.
- Familiarity with federated learning methodologies to support secure collaboration and data sharing across NATO nations while maintaining sovereignty of sensitive datasets
Responsibilities
- Contribute to the development and implementation of an enabling data science and AI capability at HQ SACT and for the NATO Enterprise, particularly in the context of the ongoing implementation of the Data Exploitation Framework and Programme.
- Identifies, contributes to, and implements machine learning (ML)/AI initiatives across HQ SACT and the NATO Enterprise with suggestions for ML approaches and implementation, including the processing of training data and performance assessment of machine learning techniques on datasets.
- Applies existing data science techniques to new problems and datasets using specialized programming techniques to meet the needs of the project and customer.
- Evaluates the outcomes and performance of data science models. Identifies and implements opportunities to train and improve models and the data they use.
- Publishes and reports on machine learning model outputs to meet customer needs and conform to agreed standards.
- Utilizes in-depth knowledge of NLP, ML applications, or computer vision.
- Demonstrates experience with Generative AI.
Other
- Proven work experience as a Data Scientist, AI/ML Engineer, or a similar role in the last four years.
- Proven understanding of data security and privacy issues, particularly in international or military environments, to ensure compliance with NATO standards for protecting sensitive information
- Experience in providing training in various areas related to data science, analytics, and AI at different technical levels.
- Portfolio of demonstrable products available via GitLab, or other platforms.
- Working experience in an international environment with both military and civilian elements.
