AI/ML Engineer - Methods & Tools
Core
Bridge data science and software engineering to own the lifecycle of ML models from conceptualization to production deployment in aerospace engineering.
Role type
Senior IC AI/ML Engineer (Methods & Tools)
Builds
Scalable ML/DL models, MLOps pipelines, and digital solutions for engineering problems (e.g., wiring design, flight test planning, safety analysis).
Domain
Aerospace engineering + AI/ML
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow/Keras, Scikit-Learn, Pandas, NumPy, Computer Vision (OpenCV, YOLO, Hugging Face), Data Engineering (MLFlow, DVC, Spark, Kafka, Snowflake, Foundry), Knowledge Graphs (Neo4j, AWS Neptune, NetworkX, GNNs)
Preferred skills
LLMs (LangChain, LlamaIndex, RAG, fine-tuning), Cloud platforms (AWS, GCP, Azure), Model deployment (ONNX, TensorRT)
Technologies
PyTorch, TensorFlow, Keras, Scikit-Learn, Pandas, NumPy, OpenCV, YOLO, Hugging Face, MLFlow, DVC, Spark, Kafka, Snowflake, Foundry, Neo4j, AWS Neptune, NetworkX, LangChain, LlamaIndex, ONNX, TensorRT
Responsibilities
Develop, optimize, and deploy scalable ML/DL models; Architect robust ML pipelines to automate training, testing, and deployment; Fine-tune models for latency, throughput, and resource utilization; Integrate AI capabilities into core platforms; Evaluate new technologies for product roadmap.
Seniority
Professional (3+ years experience)
