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AI Machine Learning Engineer - Early Career - Lockheed Martin
ML Engineer
Early‑career AI/ML Engineer building scalable models with Python, TensorFlow, and PyTorch on AWS, driving data‑driven solutions for complex aerospace challenges.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models using Python, TensorFlow, and PyTorch for aerospace applications.
- Collaborate with cross‑functional teams to gather requirements, preprocess data, and evaluate model performance.
- Implement end‑to‑end ML pipelines, including data ingestion, feature engineering, training, and deployment on AWS services.
- Conduct experiments, hyper‑parameter tuning, and model validation to ensure robustness and scalability.
- Document model architecture, code, and results; present findings to stakeholders and contribute to technical knowledge base.
Requirements
- Strong programming skills in Python and experience with ML libraries (TensorFlow, PyTorch).
- Familiarity with AWS services (SageMaker, EC2, S3) for model training and deployment.
- Solid understanding of data science concepts, statistical analysis, and feature engineering.
- Excellent problem‑solving abilities and a passion for learning new technologies.
- Effective communication skills and ability to work collaboratively in a team environment.
Skills
pythonmachine learningtensorflowpytorchawsdeep learning