AI/Data Solutions Engineer, TS/SCI
Quick summary
- Work type
- On-site
- Location
- Ashburn, VA
- Posted
- 11 days ago
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
Similar $199k
$142k
most similar roles pay here
$248k
This listing doesn't post a salary. Most similar roles pay $162,873–$235,750.
Based on 240 similar postings.
Employer
About IBM
IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.
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At a glance
TL;DR · AI/Data Solutions Engineer, TS/SCI
We are seeking a mid-level AI/Data Solutions Engineer with TS/SCI clearance to join our dynamic and innovative team in Ashburn, VA. This role involves designing and implementing advanced data solutions using cutting-edge technologies to address complex business challenges. Day-to-day responsibilities include developing machine learning models, integrating big data platforms, and creating scalable AI applications. The ideal candidate will have expertise in Python, Java, and SQL, along with experience in cloud services like AWS or Azure. Knowledge of Kubernetes, Docker, and CI/CD pipelines is highly desirable. This position requires a deep understanding of data engineering principles and the ability to work on large-scale datasets within a fast-paced environment focused on national security applications.
Skills
What you'll do
- Design and implement machine learning models to solve complex business problems.
- Develop data pipelines for efficient data processing and analysis.
- Conduct data analysis to identify trends and insights for decision-making.
- Ensure compliance with security standards in all AI projects.
- Optimize existing algorithms to improve performance and scalability.
What we're looking for
- Must hold a TS/SCI clearance with FSP.
- Requires experience in AI and data solutions engineering.
- Proficient in developing and implementing machine learning models.
- Strong background in data analysis and big data technologies.
- Experience with cloud platforms like AWS or Azure for AI solutions.
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