I
Data Scientist / AI Engineer
Actively Hiring
Full-time $115k - $130k Posted 4 days ago
Responsibilities
- check_circle Develop and implement scalable data science and AI capabilities supporting NATO initiatives.
- check_circle Design, build, and maintain data pipelines for structured and unstructured data.
- check_circle Prepare, cleanse, transform, and optimize data for LLM training, fine-tuning, inference, and analytics.
- check_circle Develop API-based infrastructure that integrates LLMs and machine learning models with operational systems.
- check_circle Design and support microservices and containerized AI/ML applications.
- check_circle Build distributed data storage and processing solutions using cloud-based or hybrid architectures.
- check_circle Develop real-time data processing and streaming capabilities for operational decision support.
- check_circle Automate data engineering processes and improve the scalability, efficiency, and reliability of AI infrastructure.
- check_circle Implement monitoring, logging, traceability, and performance-optimization tools for data pipelines and APIs.
- check_circle Support the secure deployment of AI and LLM solutions in Microsoft Azure, AWS, or comparable environments.
- check_circle Develop tools that improve data accessibility for data scientists, analysts, engineers, and operational users.
- check_circle Collaborate with data scientists, software engineers, system architects, and other technical stakeholders.
- check_circle Support federated learning, cross-domain data sharing, and secure collaboration across NATO nations.
- check_circle Develop proofs of concept for LLM-based and advanced analytics applications.
- check_circle Evaluate operational requirements and recommend appropriate AI, software, and data-engineering solutions.
- check_circle Create dashboards, reports, and visual analytics for senior and non-technical stakeholders.
- check_circle Provide technical briefings, mentoring, and training in AI engineering, data science, API development, and digital literacy.
- check_circle Research emerging developments in generative AI, distributed computing, data architecture, and software engineering.
- check_circle Promote responsible, secure, and ethical AI practices throughout solution development and deployment.
Basic qualifications
- Bachelor’s degree or higher from a nationally recognized university in data science, data analytics, artificial intelligence, mathematics, physics, computer science, software engineering, or a closely related discipline.
- At least four years of professional experience as a Data Scientist, Machine Learning Engineer, Data Engineer, Software Engineer, or in a closely related role.
- Demonstrated experience developing operational AI or machine learning solutions.
- Experience with distributed systems and cloud-based or hybrid architectures.
- Experience designing API-based infrastructure and microservices architectures.
- Hands-on experience developing and deploying containerized applications using technologies such as Docker or Kubernetes.
- Demonstrated experience with generative AI and large language models.
- Experience preprocessing data and supporting the fine-tuning and deployment of LLMs in secure, scalable environments.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, or comparable technologies.
- Strong programming experience with Python, Java, Scala, or similar languages.
- Experience with version control, CI/CD pipelines, automated testing, and modern software engineering practices.
- Experience building and optimizing ETL processes, data pipelines, and real-time streaming solutions.
- Familiarity with Apache Airflow, Kafka, Spark, or comparable data-engineering technologies.
- Experience architecting or maintaining data lakes, data warehouses, distributed storage systems, or NoSQL solutions.
- Knowledge of platforms such as Delta Lake, Snowflake, Hadoop, or comparable technologies.
- Experience applying AI to operational decision support and the analysis of unstructured data, including text or imagery.
- Strong understanding of data security, privacy, sovereignty, and responsible AI practices.
- Experience developing dashboards, visual reports, and analytics using Tableau, Microsoft Power BI, Kibana, or comparable tools.
- Ability to translate operational problems into practical AI and machine learning solutions.
- Demonstrated success working with multidisciplinary technical teams.
- Strong written and verbal communication skills.
- Ability to explain technical concepts to non-technical stakeholders and senior leaders.
- Ability to mentor or train personnel in AI engineering, data science, or software development concepts.
Preferred qualifications
- Familiarity with NATO processes, organizational structures, operational culture, and decision-making procedures.
- Experience supporting military, defense, government, or international organizations.
- Experience developing AI or data-engineering solutions using open-source frameworks and publicly available datasets.
- Familiarity with military staff workflows and operational planning processes.
- Experience with federated learning and privacy-preserving collaboration across multiple organizations or nations.
- Experience supporting cross-domain data sharing and API-driven interoperability.
- Familiarity with agile project-management methods and tools such as JIRA, Trello, or Microsoft Loop.
- Experience briefing senior leaders and presenting actionable, data-driven recommendations.
- Knowledge of ethical AI principles, including bias mitigation, responsible data handling, transparency, and secure deployment.
- (Your Name) Application" or respond to this job posting via the included web application.
Tags & Focus Areas
Fulltime Ai Ai Engineer Machine Learning Data Science Data Engineer Generative Ai
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