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Mid Level Machine Learning Teaching Jobs in Virginia

kgs

Mid-level Engineer

Arlington, VA

Koniag Management Solutions, LLC a Koniag Government Services company , is seeking a Mid-level ... machine learning) Preferred Skills and Experience: Programming Language: * Experience with C+

Koniag, Inc.

Mid-level Engineer

Arlington, VA · On-site

$130K - $160K/yr

Koniag Management Solutions, LLC a Koniag Government Services company , is seeking a Mid-level ... machine learning) Preferred Skills and Experience: Programming Language: * Experience with C+

kgs

Mid-level Engineer

Arlington, VA · On-site

Koniag Management Solutions, LLC a Koniag Government Services company , is seeking a Mid-level ... machine learning) Preferred Skills and Experience: Programming Language: * Experience with C+

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Mid Level Machine Learning Teaching information

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data analysis, and programming. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses as part of compensation.

Which 3 jobs will survive AI?

Mid Level Machine Learning Teaching roles are likely to persist as they require specialized knowledge, human interaction, and the ability to adapt to new AI tools. Jobs that involve complex problem-solving, creativity, and emotional intelligence, such as data scientists, AI ethics specialists, and technical trainers, are also expected to remain in demand despite AI advancements.

Will MLE be replaced by AI?

Mid Level Machine Learning Engineers (MLEs) focus on developing, deploying, and maintaining machine learning models, which requires a combination of programming, data analysis, and domain knowledge. While AI automation tools can assist with certain tasks, MLEs are essential for designing complex models, troubleshooting, and ensuring ethical and effective implementation, making complete replacement unlikely in the near term.

What is the difference between Mid Level Machine Learning Teaching vs Data Scientist?

AspectMid Level Machine Learning TeachingData Scientist
Required CredentialsBachelor's or Master's in CS, ML, or related; teaching experienceBachelor's or Master's in CS, Data Science, or related; often requires experience
Work EnvironmentEducational institutions, online platforms, corporate trainingTech companies, finance, healthcare, research labs
Employer & Industry UsageEducational and training sectors, universities, online educationPrivate sector, industry-specific applications, research
Common Search & Comparison IntentUnderstanding teaching roles in ML, educational careersData analysis, modeling, industry applications

Mid Level Machine Learning Teaching focuses on educating students or professionals in ML concepts, often requiring teaching experience and educational credentials. Data Scientists analyze data, build models, and apply ML techniques in industry settings. While both roles involve ML knowledge, teaching emphasizes instruction, whereas data science emphasizes application and analysis.

Can I learn ML in 3 months?

For a mid-level machine learning teaching role, gaining foundational knowledge in machine learning typically requires several months of dedicated study, including understanding algorithms, programming in Python, and working with tools like scikit-learn or TensorFlow. While intensive learning over three months can build basic skills, achieving proficiency suitable for teaching or advanced roles usually takes longer and involves practical experience and project work.
What are the most commonly searched types of Machine Learning Teaching jobs in Virginia? The most popular types of Machine Learning Teaching jobs in Virginia are:
What are popular job titles related to Mid Level Machine Learning Teaching jobs in Virginia? For Mid Level Machine Learning Teaching jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Mid Level Machine Learning Teaching jobs in Virginia look for? The top searched job categories for Mid Level Machine Learning Teaching jobs in Virginia are:
What cities in Virginia are hiring for Mid Level Machine Learning Teaching jobs? Cities in Virginia with the most Mid Level Machine Learning Teaching job openings:
Mid Level Machine Learning Teaching jobs near you

Mid-level Engineer

kgs

Arlington, VA

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 hours ago

Job description

Koniag Management Solutions, LLC a Koniag Government Services company, is seeking a Mid-level Engineer with a TS/SCI security clearance to support KMS and our government customer at the Pentagon, Arlington, VA. This position is for a Future New Business Opportunity.   

We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more.

Essential Functions, Responsibilities & Duties may include, but are not limited to:

  • Ten (10) years of engineering experience, with five (5) years’ experience working in operations analysis.
  • Five (5) years’ experience working in Operations Analysis, Systems Engineering, or a related analytical field within a defense context.
  • Five (5) years’ hands-on experience with the Advanced Framework for Simulation, Integration and Modeling (AFSIM).
  • Five (5) years’ experience developing with real-time 3D visualization platforms, such as the Unity game engine or an equivalent tool (e.g., Unreal Engine).
  • Five (5) years’ designing and executing structured experiments, analyzing the resulting data, and drawing actionable conclusions.
  • Five (5) years’ experience leading technical tasks, managing analytical study plans, and guiding the development of software tools.
  •  

Education:

  • Bachelor’s degree from an accredited college or university in an engineering or physical science discipline (e.g., engineering, chemistry, physics, biology, computer science, Information Technology, data science, robotics, computer architecture and machine learning)

 

Preferred Skills and Experience:

Programming Language:

  • Experience with C++.

 

Architecture Frameworks:

  • Experience with the Unified
  • Architecture Framework (UAF), Department of Defense
  • Architecture Framework (DoDAF), and Tactical Open
  • Government Architecture Framework (TOGAF).

 

Modeling Languages:

  • Experience with the Unified
  • Modeling Language (UML) and System Modeling
  • Language (SysML).

Modeling & Engineering Tools:

  • Experience with MagicDraw, IBM Rational Rhapsody, Sparx Enterprise Architecture (EA), Cameo EA Suite, CORE, Cameo
  • Systems Modeler, and MapleMBSE
  • Five (5) years’ experience with DoW programs

Clearance Requirement:

  • TS/SCI clearance

Our Equal Employment Opportunity Policy

The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.

The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.

Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.

Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352

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