Machine Learning/ Cloud Engineer, TS/SCI
4 weeks ago
Qualifications:
- TS-SCI clearance
- Bachelor’s degree or equivalent practical experience.
- 8+ years of experience in computer science, data science, machine learning
- Proven experience developing and deploying machine learning models in a production environment.
- Hands-on experience with major cloud platforms
- Strong proficiency in programming languages such as Python, along with libraries like Tensorflow, PyTorch, or scikit-learn.
- Understanding of version control, testing, and debugging.
- Strong communications skills with the ability to effectively convey technical concepts to various stakeholders and audiences
- Agile development experience along with related technologies (e.g., Jira)
Preferred Qualifications:
- TS-SCI clearance
- Deep knowledge of security best practices, experience with cloud security tools, and working with role and attribute based security models
- Deep knowledge of DevSecOps and MLOPs
- Familiarity and experience with the Intelligence Community (IC), and the intel cycle.
- Familiarity and experience with the Department of Homeland Security (DHS).
- Master’s degree or equivalent experience in a related field.
Responsibilities:
- Develop and deploy machine learning models to solve complex problems related to various mission focus areas
- Leverage various cloud platforms such as AWS, Azure, or Google cloud to build, train, and deploy machine learning models at scale
- Collaborate with team members to establish data pipelines for model training and inference
- Implement and optimize machine learning algorithms for efficiency and performance
- Conduct thorough experimentation and analysis to improve model accuracy and performance
- Participate in informal and formal code reviews
- Participate in architectural reviews and offer alternative architectural patterns to optimize application performance
- Document processes and solutions that serve as communication findings for both technical and non-technical stakeholder
Skills:
- GitLab
- Python and R Studio
- Cloud Services (AWS, GCP, Oracle)
- Natural Language Processing (NLP)
- Data Science
- Machine Learning
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