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Machine Learning Engineer Ts Sci Jobs in Colorado

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

Booz Allen Hamilton

MLOps Engineer, Mid

Aurora, CO

$77K - $176K/yr

As a machine learning engineer, you'll identify new opportunities to build solutions and ... TS/SCI clearance with a polygraph * HS diploma or GED * Ability to obtain a Security+ CE, SSCP ...

DPG Solutions LLC

Integration & Test Engineer

Aurora, CO · On-site

$120K - $180K/yr

US Citizenship is required An active TS/SCI Clearance is Required Test & Integration Engineer - TS/SCI Location: Aurora, CO | Clearance: Active TS/SCI | Citizenship: U.S. required DPG Solutions is ...

DPG Solutions LLC

Integration & Test Engineer

Aurora, CO

$105K - $142K/yr

US Citizenship is required An active TS/SCI Clearance is Required Test & Integration Engineer - TS/SCI Location: Aurora, CO | Clearance: Active TS/SCI | Citizenship: U.S. required DPG Solutions is ...

ARKA Group

Staff AI/ML Engineer (TS/SCI) {S}

Aurora, CO · On-site

$155K - $200K/yr

Implement machine learning algorithms as part of a small interdisciplinary team * Analyze large ... Active TS/SCI U.S. Government Security Clearance Preferred Qualifications: * M.S. or PhD in ...

Lockheed Martin

$89K - $157K/yr

The Space AI Talent Center is seeking a highly skilled AI/ML Machine Learning Engineer to join a ... TS/SCI clearance required to start Desired skills • Advanced degree in a STEM discipline • ...

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Machine Learning Engineer Ts Sci information

What are Machine Learning Engineer TS/SCI positions?

Machine Learning Engineer TS/SCI positions are specialized roles where engineers design, develop, and implement machine learning models and systems, often for government or defense projects that require a Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance. These professionals work on advanced AI algorithms, data processing, and secure software, ensuring that sensitive information is protected throughout the process. They collaborate with data scientists, software developers, and security experts to solve complex problems using data-driven approaches while adhering to strict security protocols.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer with TS/SCI clearance, and why are they important?

To thrive as a Machine Learning Engineer with TS/SCI clearance, you need strong skills in machine learning algorithms, programming (Python, R), data analysis, and a relevant degree in computer science or a related field, along with active TS/SCI security clearance. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure), and knowledge of secure data handling are commonly required. Excellent problem-solving, teamwork, and clear communication are vital soft skills for collaborating on complex, sensitive projects. These skills ensure effective development of secure, high-impact AI solutions in environments where data protection and analytical precision are critical.

What are some common challenges faced by Machine Learning Engineers with TS/SCI clearance in day-to-day work?

Machine Learning Engineers with TS/SCI clearance often encounter unique challenges, such as working with highly sensitive data in secure environments, which can limit access to certain tools or cloud resources. Collaboration is often restricted to cleared team members, and sharing findings externally is not permitted. Additionally, projects may have ambiguous requirements due to their classified nature, requiring strong problem-solving skills and adaptability. However, these roles offer the chance to work on impactful projects with significant national security implications, providing both technical and professional growth.

What is the difference between Machine Learning Engineer Ts Sci vs Data Scientist?

AspectMachine Learning Engineer Ts SciData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; certifications in ML or AIBachelor's or Master's in Statistics, Data Science, or related fields; certifications in data analysis or visualization
Work EnvironmentDevelops and deploys ML models, often in production environmentsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI firms, R&D departmentsFinance, healthcare, marketing, and tech sectors

While both roles require strong analytical skills and knowledge of machine learning, Machine Learning Engineer Ts Sci focuses on developing and deploying scalable ML models, whereas Data Scientists primarily analyze data to generate insights. The roles often overlap but differ in their core responsibilities and work environments.

What are popular job titles related to Machine Learning Engineer Ts Sci jobs in Colorado? For Machine Learning Engineer Ts Sci jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Ts Sci jobs in Colorado look for? The top searched job categories for Machine Learning Engineer Ts Sci jobs in Colorado are:
Machine Learning Engineer Ts Sci jobs near you

Security Engineer II, DCO Engineer (TS/SCI, Onsite)

Deloitte

Denver, CO • On-site

Full-time

Re-posted 5 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

56th of 149 rated financial services

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