Experienced Test & Evaluation Engineer
Core
Design, develop, and deploy machine learning and deep learning models, including NLP and generative AI, for business use cases in aerospace systems.
Role type
Senior IC machine-learning engineer (NLP & Generative AI)
Builds
Production ML models and AI solutions for commercial and military aerospace systems
Domain
Aerospace / Artificial Intelligence
Deliverable
production ML models
Required skills
Python, deep learning frameworks (TensorFlow, PyTorch), generative AI frameworks (Hugging Face Transformers, LangChain), machine learning algorithms, model evaluation, cloud platforms (OpenShift, Kubernetes, Docker), data pipelines, knowledge graphs, vector databases (ChromaDB, FAISS, Neo4j)
Preferred skills
Unstructured data processing, open-source AI/ML contributions, research publications
Technologies
TensorFlow, PyTorch, Hugging Face, LangChain, LangGraph, OpenShift, Kubernetes, Docker, ChromaDB, FAISS, Neo4j
Responsibilities
Design and develop NLP and generative AI models using architectures like transformers; Fine-tune, prompt-engineer, or distill pre-trained LLMs for domain-specific tasks; Implement and maintain data pipelines for model training, evaluation, and deployment; Integrate external and internal data sources into knowledge graphs and vector databases; Monitor model performance and retrain models as necessary; Document processes, models, and code to ensure reproducibility
Seniority
Senior, hands-on IC