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Artificial Intelligence Relocation information

What are the key skills and qualifications needed to thrive as an artificial intelligence relocation specialist?

To thrive as an Artificial Intelligence Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree. Familiarity with programming languages such as Python, TensorFlow, PyTorch, and knowledge of cloud computing platforms is typically required, along with certifications in AI or data science being advantageous. Strong problem-solving, analytical thinking, and effective communication are crucial soft skills in this role. These skills and qualifications are essential for designing, developing, and deploying AI solutions that solve complex business problems and drive innovation.

What are some common challenges faced by professionals working in artificial intelligence relocation roles, and how can they be addressed?

Professionals in Artificial Intelligence Relocation often encounter challenges such as adapting AI models to new data environments, ensuring regulatory compliance across regions, and managing stakeholder expectations during the transition. Success in this role requires strong technical skills, effective communication, and a proactive approach to cross-functional collaboration. Building relationships with IT, data privacy, and legal teams can help address these hurdles and ensure smooth AI system integration in the new location.

What is an artificial intelligence relocation specialist?

An Artificial Intelligence Relocation specialist is a professional who manages and supports the process of moving AI systems, infrastructure, or teams from one location to another. This can involve transferring AI models, data centers, or even AI talent across regions or countries to better align with business needs, regulatory requirements, or cost efficiencies. These specialists often coordinate with IT, HR, and legal teams to ensure a smooth transition, maintain data integrity, and comply with laws regarding technology and personnel. Their role is crucial in minimizing disruption and ensuring that AI operations continue seamlessly post-relocation.
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Artificial Intelligence Relocation jobs near you

VDI Engineer - Active TS/SCI with CI Poly

ENS Solutions, LLC

Aurora, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

As a VDI Engineer supporting the Government, you will be trusted to engineer new and improved enhancements for existing and emerging virtual desktop technologies. In this role, a typical day will include:

  • Engineering, designing, testing, implementing, maintaining, securing, and managing the full life cycle of the complex Citrix Xen Desktop and NetScaler solutions deployed in the large Enterprise environment
  • Designing and supporting Microsoft infrastructure solutions, including Azure Virtual Desktop, on-prem, cloud and hybrid
  • Interacting with Government stakeholders regarding technical considerations for problems, issues, or conflicts
  • Engineering, implementing, mitigating, monitoring, and tuning VDI environment and management software to obtain Authorize to Operate (ATO) for new VDI solutions
  • Managing Citrix products (Virtual Apps, Virtual Desktops, ADC, Provisioning)
  • Managing Azure products (Azure Virtual Desktops)
  • Operating and executing scripting skills in PowerShell or Python
  • Providing Tier 3 and above support as needed (troubleshooting, problem resolution support, and Root Cause Analysis (RCA))
  • Preparing and maintaining documentation for VDI solutions, processes, and procedures related to engineering projects

Requirements

  • Must have High School Diploma and 10+ years of experience or Associate's degree and 8+ years of experience or Bachelor's degree and 6+ years of experience
  • Must have an Active TS/SCI ; willing to obtain a CI Poly
  • Experience performing engineering work associated with the design, development, maintenance, and testing of infrastructure for desktop application packaging and deployment technologies
  • Knowledge of Citrix XenApp, AppLayering, and/or Enterprise Layer Manager (ELM)
  • Hands-on experience with SQL Clustering Failover
  • Knowledge of cloud, networking, and enterprise architectures
  • Expertise in the Windows 10/11 - Standard Operating Environment (SOE), imaging, evergreen, etc.
  • Experience with Remote Desktop Service (RDS) on Windows Server 2019/2022
  • Ability to deploy Azure Virtual Desktop (AVD) on Windows Server 2019/2022

Required certification:

  • CWS-215: Citrix Virtual Apps and Desktops 7 Administration On-Premises and in Citrix Cloud

Preferred certification(s):

  • Managing Modern Desktops (MD-101)
  • Citrix Virtual Apps and Desktops (1Y0-312)
  • Microsoft Azure Virtual Desktop

Benefits

Essential Network Security (ENS) Solutions, LLC is a service-disabled veteran owned, highly regarded IT consulting and management firm. ENS consults for the Department of Defense (DoD) and Intelligence Community (IC) providing innovative solutions in the core competency area of Identity, Credential and Access Management (ICAM), Software Development, Cyber and Network Security, System Engineering, Program/Project Management, IT support, Solutions, and Services that yield enduring results. Our strong technical and management experts have been able to maintain a standard of excellence in their relationships while delivering innovative, scalable and collaborative infrastructure to our clients.

Why ENS?

  • Free Platinum-Level Medical/Dental/Vision coverage, 100% paid for by ENS
  • 401k Contribution from Day 1
  • PTO + 11 Paid Federal Holidays
  • Long & Short Term Disability Insurance
  • Group Term Life Insurance
  • Tuition, Certification & Professional Development Assistance
  • Workers' Compensation
  • Relocation Assistance

Candidate AI Usage Policy

AI tools are an important part of daily work at ENS Solutions, and we are committed to their responsible and ethical use. To ensure a fair and equitable candidate evaluation based on individual skills, knowledge, and experience, candidates are not permitted to use artificial intelligence or other assistive tools during interviews, whether in person or virtual, unless explicit permission has been granted in advance.

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