Machine Learning Engineer
420 National Business Parkway, Jessup, MD, United States
USD 150K-260K Senior-level Full Time
Tasks
- Build and optimize machine learning models
- Collaborate with cross-functional teams
- Compress and fine tune models for target platforms
- Conduct research and experiments for ML techniques
- Develop and implement embedded software drivers
- Develop and implement microcontroller applications
- Develop and maintain Java-based applications
- Develop and maintain Python-based applications
- Document experiments and prototype solutions
- Evaluate model applicability for mission problems
- Implement full SDLC with Agile methodology
- Implement real time software using RTOS
- Integrate machine learning algorithms into systems
- Manage software engineering team
- Optimize model performance and efficiency
- Plan staffing training and performance evaluation
- Review and approve product design decisions
- Test analyze and debug embedded software
- Verify and document designs for quality and regulatory guidelines
- Work in agile software development
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Algorithms | Apache Spark | Artificial Intelligence | Azure | C# | CAN | Cloud platform | Confluence | Cyber Threat | Cyber Threat Intelligence | Data Lakes | Data Structures | Development Life Cycle | Docker | ETL | GitLab | Google Cloud | Google Cloud Platform | Hadoop | I/O | I/O drivers | I2C | Java | Jenkins | Jira | Kubernetes | Machine Learning | Maven | Microcontrollers | Object-Oriented | Object-oriented programming | Operating Systems | PyTorch | Python | RTOS | Real Time | Real-time operating systems | SPI | Scikit-learn | Software Development Life Cycle | Software development | TensorFlow | Test automation | Threat Intelligence | USB
Education
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