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