
Current openings at Awetomaton
Awetomaton is a team of curious, tenacious, and seasoned analysts and engineers. We aim to be the best place to work both culturally and technically for those supporting the national defense sector. Our mission is to set new standards in technical execution and thought leadership within the Department of Defense.
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Featured Jobs
Senior AI / ML Engineer
Awetomaton is seeking a Senior AI / ML Engineer to grow our first onsite presence with existing customers in Beavercreek, OH. In this role you will use your OPIR domain expertise to identify salient features for development of new AI/ML models. You will use Python and appropriate AI/ML libraries (PyTorch, TensorFlow, etc.) to develop and mature R&D exploitation capabilities. The ideal candidate will possess a MS degree or higher in AI / ML field with 10-15 years of professional experience.
This position will be performed largely onsite in Beavcreek, OH. Active DoD Top Secret security clearance required. We are looking for a candidate to start in the May-June 2026 timeframe.
Criteria for success
Communicate effectively in both written and verbal form with peers & decision makers
Demonstrate initiative when faced with limited guidance or ambiguous requirements
AI/ML expertise in Python
Expertise in OPIR image processing and data exploitation
Required Experience and Skills
Master of Science in AI/ML scientific discipline
Ten (10) years of minimum experience developing AI/ML algorithms for object identification / classification
Ten (10) years of experience creating AI/ML solutions in Python (e.g. PyTorch, Tensor Flow)
Five (5) years of minimum experience with Container Technology (Docker / podman / etc.)
Mastery of software configuration management using Git.
Desired Education and Experience
Doctor of Philosophy in AI/ML scientific discipline
Five (5) years of minimum experience in OPIR among of a mix of processing, exploitation, and analysis algorithm development
Five (5) years of PyTorch expertise
Expertise developing modular, reusable software via strong Object-Oriented Software development practices
Experience following GitFlow and GitOps workflows using team repository (GitHub / Gitlab / etc.)
Analytics Engineer / Data Scientist (Full Stack)
Awetomaton is seeking a full stack Analytics Engineer / Data Scientist to develop and implement data models that support cost analysis, reporting, and decision-making for an existing customer. In this role, you will transform raw data into accurate, well-structured datasets and build logic that enables clear, explainable insights for cost accounting and associated customer billing. The ideal candidate will have a BS degree or higher and have 5+ years of experience.
This position can be performed out of St. Louis, MO (preferred) or Dayton, OH. Active Top Secret security clearance preferred. We are looking for a candidate to start in the mid- May 2026 timeframe.
Criteria for success
Communicates effectively with technical and business stakeholders
Translates complex business logic into clear, reliable data transformations
Produces accurate, well-documented, and explainable datasets
Demonstrates strong analytical thinking and attention to detail
Required Experience and Skills
Strong data modeling and SQL skills
Experience building transformations that integrate:
Cloud cost and usage data (billing reports such as AWS CUR 2.0)
Platform usage metrics (telemetry systems like Prometheus)
Customer, organizational, or billing metadata
Experience creating reusable data models (dbt or similar)
Familiarity with cloud cost data (AWS CUR 2.0, tagging, usage metrics)
Ability to translate business logic into deterministic code
Analytical mindset with attention to accuracy and reconciliation
Bachelor of Science in Data Science, Computer Science, Information Systems, or related discipline
Desired Education and Experience
Master of Science in Data Science, Computer Science, Information Systems, or related field
Five (5)+ years of experience in analytics engineering, data science, or related roles
Familiarity with cloud cost management, tagging strategies, and usage-based analytics
Background in working with federal government, Department of Defense, and/or the Intelligence Community