Boeing is seeking Data-Driven AI/ML Technology Solutions Engineers to support a team in designing, building, validating, and deploying AI-enabled analytics solutions, productivity enablers, and digital capabilities for engineering products and manufacturing processes.
Requirements
- Data science skills in Python and experience with at least one industry-standard language or framework (e.g., Java, C-Sharp, Go)
- Familiarity of model evaluation metrics, validation techniques, and quality assurance for analytic outputs.
- Practical experience with AI/ML frameworks and data tooling (TensorFlow, PyTorch, scikit-learn, pandas, NumPy).
- Familiarity with deploying services on cloud platforms (AWS/Azure/GCP), containerization (Docker), and orchestration (Kubernetes) or equivalent on-prem runtime environments.
- Familiarity with LLM workflows, prompt engineering, RAG, transfer learning, and model fine-tuning for domain-specific tasks.
- Familiarity with feature stores, model registries, and automated monitoring/alerting for deployed models.
- Familiarity and/or experience with MBSE modeling tools such as CAMEO/MSOSA.
Responsibilities
- Contribute to the end-to-end delivery of AI/ML-enabled analytics components such as requirements translation, data preparation, model design, implementation, testing, deployment, and monitoring.
- Assist with selecting and applying best-fit analytic methodologies (statistics, machine learning, optimization, simulation) and define algorithms to meet engineering objectives.
- Support implementation of data engineering and feature preparation pipelines (cleansing, conditioning, transformation, handling missing data, feature extraction).
- Build services and APIs to operationalize models; ensure scalability, observability, security, and maintainability.
- Assist in validation and verification of models using standardized evaluation procedures; perform calibration, uncertainty estimation, robustness, and regression testing.
- Apply modern AI techniques (including deep learning and LLM methods where appropriate), and integrate tooling for model fine-tuning, prompt engineering, or retrieval-augmented workflows as required by use cases.
- Partner to implement MLOps practices: CI/CD for models and analytics, model versioning, automated testing, and controlled model rollouts.
Other
- This position is expected to be 100% onsite.
- The selected candidate will be required to work onsite in Oklahoma City, OK.
- This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship.
- An interim and/or final U.S. Secret Clearance Post-Start is required.
- Employer will not sponsor applicants for employment visa status.
