Facilities Engineer - Level 2
Northrop Grumman · Charlotte, NC · 3 mo ago
On-siteManagementFull-time
About the role
The role involves developing advanced algorithms for autonomous systems. This includes designing and implementing machine learning models that can operate in complex environments.
Responsibilities
- Develop and optimize machine learning models for autonomous systems.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems.
- Conduct research on emerging technologies and their applications in autonomous systems.
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or related field.
- 3+ years of experience in machine learning and software development.
- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
- Experience with cloud computing platforms like AWS or Azure.
Qualifications
- Proficiency in Python and other programming languages.
- Knowledge of computer vision and natural language processing.
- Experience with data preprocessing and model evaluation techniques.
Skills
- Deep learning and neural networks.
- Data analysis and visualization.
- Cloud computing and serverless architectures.
- Version control systems (Git).
Benefits
- Flexible work schedule.
- Competitive compensation package.
- Professional development opportunities.
- Health and wellness programs.
Pay
$80,000 - $100,000 annually.
Schedule
Full-time, Monday through Friday, 9 AM to 5 PM.