Facilities Coordinator Level 3
Northrop Grumman · Chandler, AZ · 1 wk ago
On-siteManagementFull-time
About the role
The role involves developing advanced algorithms for autonomous systems. This includes designing and implementing machine learning models, conducting performance evaluations, and collaborating with cross-functional teams.
Responsibilities
- Develop and optimize machine learning models for autonomous systems
- Conduct performance evaluations and analyze results
- Collaborate with software engineers and system architects
- Stay updated with the latest advancements in AI and machine learning
Requirements
Must have a Master's degree in Computer Science, Electrical Engineering, or a related field. Experience with Python, TensorFlow, and Kubernetes is preferred.
Qualifications
- Strong background in machine learning and deep learning
- Experience with cloud platforms like AWS or Google Cloud
- Excellent problem-solving skills and attention to detail
- Ability to work independently and in a team environment
Skills
- Python programming
- TensorFlow/Keras
- Cloud platforms (AWS/GCP)
- Machine learning frameworks
- Deep learning techniques
Benefits
Competitive salary, comprehensive health insurance, flexible working hours, professional development opportunities, and a supportive work culture.
Pay
$80,000 - $100,000 annually
Schedule
Full-time, Monday through Friday, 9 AM to 5 PM