What are the responsibilities and job description for the AI Engineer/Data Scientist position at Teksky?

Job Description

POSITION : Data Scientist / AI Engineer (Focus on Wargaming Integration)

LOCATION : Norfolk, VA

SECURITY CLEARANCE : Secret

Job Requirements

Contribute to the integration of AI in NATO's warfare development efforts, particularly wargaming.
Collaborate with wargaming experts to identify key areas for AI enhancement.
Support the development of a roadmap for AI integration into NATO wargaming.
Implement data collection and analysis methods for wargaming datasets.
Develop real-time analytics and visualizations to support decision-making during wargaming simulations.
Support human-machine teaming by integrating AI tools for enhanced collaboration.
Design and conduct experiments to test AI applications in wargaming scenarios.
Document and present findings from AI integration experiments.
Ensure data integrity and security in all AI-related wargaming activities, considering, for example, NATO's Principles of Responsible Use.
Provide technical guidance to wargaming experts on AI technologies.
Develop analytical reports summarizing AI-enhanced wargaming exercises.
Explore AI applications to automate administrative tasks.
Participate in workshops, conferences, and meetings to stay updated on AI technologies.
Support training development for NATO personnel on AI in wargaming.
Develop multimedia content, such as short videos for wargaming scenarios or preparatory materials and explore the use of AI technologies for video generation.
Willingness to travel up to 30 days per year for meetings, conferences and exercises.
Perform additional tasks as required by the COTR related to Data Science & AI integration.

Essential Qualifications :

Nationality of one of the NATO member countries.

University degree in Data Science, Machine Learning (ML), Artificial Intelligence (AI), Computer Science, or a related field OR four years minimum professional experience in Data Science, ML, AI within the last 5 years. (Master's Preferred) (5-6 years preferred)

Minimum of 4 years in the last 5 years working in data science, machine learning, or AI engineering in a professional environment (not including studies). (5 years preferred)

Demonstrated experience (minimum of 3 years in the last 5 years) in integrating AI technologies into practical applications. (5 years preferred)

Proficiency in AI and machine learning frameworks and tools such as TensorFlow, PyTorch, scikit-learn. (5 years preferred)

Experience with generative AI models, in particular Large Language Models (LLMs). (5-6 years preferred)

Demonstrated experience (minimum of 3 years in the last 8 years) in data collection, analysis, and visualization using tools such as Python, R, Tableau, or Power BI. (5 years preferred)

Understanding of wargaming principles and methodologies.

Ability to communicate complex concepts effectively to non-technical stakeholders.

Proven ability to work collaboratively in cross-functional and interdisciplinary teams.

Experience in managing AI-related projects, including planning, execution, and (analytical) reporting.

Experience in multimedia content such as short videos for educational or preparatory purposes, with a willingness to explore AI technologies for content generation.

Knowledge of data security principles and best practices.

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