Machine Learning/ Cloud Engineer, TS/SCI

4 weeks ago


Washington, United States Maania Consultancy Services Full time
Job DescriptionJob Description

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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