AI Data Automation Engineer
Albers Aerospace2 days ago
Cincinnati, OH, USAMid Level
Responsibilities
- Design, develop, deploy, and maintain AI, automation, and data integration tools for engineering processes.
- Write maintainable software using Python, C++, Java, SQL, or other relevant languages.
- Build and test integration and automation tools while gathering and validating business requirements.
- Integrate engineering toolchains such as Teamcenter, NX, Cameo, and Ansys through APIs and data structures.
- Develop solutions using varied data sources, databases, APIs, cloud services, and containerized environments.
- Define capability roadmaps, identify automation opportunities, and document current and future workflows.
- Create technical documentation, code comments, developer guides, user documentation, and training materials.
- Provide technical support and training to business consumers and engineering teams.
- Collaborate with engineering, information assurance, digital technology, customer, and cross-functional teams, including deployment in classified spaces.
- Mentor more junior team members and participate in solution exploration, development, deployment, and testing.
Requirements
- Bachelor’s degree in Computer Science, Computer or Electrical Engineering, or a related STEM discipline.
- Must be a U.S. citizen and possess or be able to obtain a Secret security clearance.
- Strong scripting and programming capability in Python, C++, Java, SQL, or similar languages.
- Proficiency in Windows and Unix/Linux programming environments.
- Deep understanding of data concepts, data integration practices, APIs, and web services.
- Experience with AWS, Docker, Kubernetes, and cloud-based solutions.
- Knowledge of SDLC methodologies, CI/CD pipelines, automated testing frameworks, Git, and collaborative development practices.
- Background with engineering tools and data structures, including PLM, systems engineering, and CAD workflows.
- Ability to map business processes, capture requirements, scope technical solutions, and collaborate with technical and non-technical stakeholders.
- Preferred graduate degree in engineering, Computer Science, Computer Engineering, Electrical Engineering, or a related discipline.
- Preferred 1–3 years of relevant work experience.
- Preferred knowledge of TensorFlow, PyTorch, scikit-learn, database design and optimization, SQL and NoSQL systems, RESTful APIs, microservices, distributed systems, DevOps, and infrastructure as code.
- Preferred ability to execute development projects independently and solve technical challenges effectively.
Benefits
- The role is preferred onsite at the customer’s Evendale, Ohio facility, with possible offsite support and some travel.
- The position is embedded at a customer facility and may require work in integration and test facilities or classified spaces.
- CONUS travel may be required from time to time, listed as approximately 10%.
- The role involves prolonged computer work and may require lifting or pushing up to 25 pounds and traversing integration and test facilities.
Categories
AI ApplicationsData Engineering
About Albers Aerospace
Albers Aerospace designs and manufactures aerospace components and unmanned systems, and delivers engineering, aviation management, and government services for defense, federal, and commercial customers. The privately held company, founded in 2014 and headquartered in McKinney, Texas, operates a diversified portfolio that also includes construction services and vehicle remanufacturing. Revenue comes from product sales and program contracts across aerospace and government markets, including regulated, AS9100-driven production environments.