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Cloud Engineer/Machine Learning

4 months ago

Sterling, United States ALTA IT Services Full time

Cloud Engineer/Machine Learning
Washington, DC – hybrid
TS/SCI clearance required

As a Cloud Engineer with Machine Learning experience, you will?be responsible for developing and deploying machine learning models to solve complex problems across a cloud?infrastructure that houses sensitive data and models that support mission critical operations. You will work closely and collaborate with a dynamic cross-functional team crafting data pipelines for model training to implement machine learning algorithms.

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:
• 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).?
• Minimum of Bachelor’s Degree, Master’s Degree preferred.?

Required professional and vendor certifications:
AWS Certified Developer Associate

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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