AI/Data Solutions Engineer, TS/SCI

IBM

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Work type
On-site
Location
Annapolis Junction, MD
Posted
11 days ago

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Similar $199k
$142k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $162,873–$235,750.

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TL;DR · AI/Data Solutions Engineer, TS/SCI

The AI/Data Solutions Engineer position at the TS/SCI level is part of a high-security team in Annapolis Junction, Maryland, targeting mid to senior-level professionals with expertise in developing and implementing advanced data solutions. This role involves designing and building sophisticated machine learning models and data pipelines that support critical national security applications. Day-to-day responsibilities include collaborating with cross-functional teams to analyze complex datasets, develop predictive analytics tools, and ensure the scalability and reliability of AI systems. The ideal candidate should have extensive experience with Python, Java, or C++, as well as proficiency in cloud platforms like AWS or Azure for deploying machine learning models. Knowledge of cybersecurity protocols and a deep understanding of data privacy regulations are essential given the sensitive nature of the work.

What you'll do

  • Develop and implement advanced machine learning models to solve complex data problems.
  • Design scalable data architectures for efficient storage and retrieval of large datasets.
  • Conduct data analysis to identify trends and insights critical for business decisions.
  • Ensure compliance with security protocols in handling sensitive data.
  • Optimize existing algorithms to improve performance and accuracy.

What we're looking for

  • Must hold TS/SCI clearance with FSP.
  • Requires experience in AI and data solutions engineering.
  • Proficient in developing and implementing machine learning models.
  • Strong background in cybersecurity and data protection protocols.
  • Experience with big data technologies and analytics platforms.
  • Skilled in software development lifecycle management.
  • Knowledge of cloud computing environments preferred.

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