Principal MLOps Engineer leading design and optimization of machine learning infrastructure at Wood Mackenzie. Collaborating with data science and engineering teams to ensure robust automated ML lifecycles.
CI
Hybrid Senior Software Engineer – Machine Learning, Cloud Technologies
Posted 5 months ago
About the role
- Software Engineer at CACI enhancing complex software systems with a focus on machine learning and cloud technologies. Combining independent and collaborative work to drive innovation in security solutions.
Responsibilities
- Join our dynamic team as a Software Engineer where you will play a pivotal role in developing, maintaining, and enhancing complex and diverse software systems.
- Implement and refactor data pipelines at scale to improve efficiency and code correctness.
- Monitor and enhance existing data science tools to facilitate the transition from development to production systems.
- Design, implement, and enhance machine learning analytics using Python libraries such as PyTorch, NumPy, Pandas, and Scikit-learn.
- Train, test, track, and curate models using industry-standard tools and practices.
- Integrate GitOps for continuous integration and deployment of models using Docker and Kubernetes.
- Utilize AWS services such as EC2, S3, and RDS for building and deploying applications.
- Integrate model and tool outputs within Computer Network Defense (CND) systems to enhance Security Management/Monitoring services.
- Document all processes and code, and provide comprehensive reports on completed tasks.
Requirements
- Active TS/SCI w/ Polygraph
- Experience with Python
- Experience with Docker and/or Kubernetes
- 14 years’ experience as a Software Engineer in programs and contracts of similar scope, type, and complexity, or a Bachelor’s degree in Computer Science or a related discipline plus 4 years of additional SWE experience.
- Bachelor’s degree in Computer Science or a related discipline from an accredited college or university is required.
- Alternatively, 4 years of additional Software Engineering experience on projects with similar software processes may substitute for a bachelor’s degree.
- Experience with AWS
- Experience with Machine Learning
Benefits
- healthcare
- wellness
- financial
- retirement
- family support
- continuing education
- time off benefits
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