Bluestaq is looking to solve challenges in enterprise software and secure data management, particularly for national defense and security, by developing data solutions that significantly contribute to the US military and intelligence community. They aim to engineer secure, scalable data ecosystems for space, defense, healthcare, and beyond.
Requirements
- Basic understanding of supervised, semi-supervised, and unsupervised Machine Learning approaches and their applications.
- Familiarity with graph-native machine learning pipelines for feature engineering and evaluation.
- Exposure to developing formal ontologies and their application to graph data modeling.
- Proficiency in one or more programming languages such as Java, Python, JavaScript, etc.
- Basic knowledge of graph database tools, technologies, and methods, including property graph models and Cypher Query Language.
- Familiarity with build systems (e.g., Maven), CI/CD tools (e.g., Jenkins, SonarQube), and configuration management software (e.g., Apache Zookeeper).
- Experience with SQL database design, relational data modeling, and REST API development is a plus.
Responsibilities
- Assist in developing large-scale Artificial Intelligence data architectures across SQL and NoSQL databases.
- Support database design, data modeling, and performance tuning for relational databases.
- Aid in designing and managing graph data stores for complex data relationships, optimizing AI and ML applications.
- Learn and implement data security best practices and support complex projects under the guidance of technical leadership.
- Collaborate with development teams to optimize application performance and tackle big data challenges.
- Participate in Machine Learning code reviews and provide feedback to improve code quality and readability.
- Write unit/integration/service tests and use continuous integration tools such as Jenkins and SonarQube.
Other
- Currently enrolled in a Master’s or Doctorate degree program in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
- This position requires the ability to obtain a TS/SCI Clearance.
- To be eligible for a clearance, US Citizenship is required, and an employee must agree to participate in a background screen and credit check.
- This is not a remote position; our 2026 Seasonal Interns will work on-site in the Bluestaq office.
- Strong communication skills and the ability to articulate complex concepts.
