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Remote Ai Infrastructure Engineer Jobs in Delaware

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$13 - $17.50/hr

... the Data+AI Security company. Our data security posture management platform is engineered ... Remote Duration: 10-12 weeks (Summer 2025)

Symmetry

$14.50 - $19.25/hr

... the Data+AI Security company. Our data security posture management platform is engineered ... Remote Duration: 10-12 weeks (Summer 2025)

Symmetry

$14.25 - $18.75/hr

... the Data+AI Security company. Our data security posture management platform is engineered ... Remote Duration: 10-12 weeks (Summer 2025)

Symmetry

$14.25 - $18.75/hr

... the Data+AI Security company. Our data security posture management platform is engineered ... Remote Duration: 10-12 weeks (Summer 2025)

Symmetry

$14.50 - $19.50/hr

... the Data+AI Security company. Our data security posture management platform is engineered ... Remote Duration: 10-12 weeks (Summer 2025)

Symmetry

$15 - $20/hr

... the Data+AI Security company. Our data security posture management platform is engineered ... Remote Duration: 10-12 weeks (Summer 2025)

Symmetry

$14.75 - $19.50/hr

... the Data+AI Security company. Our data security posture management platform is engineered ... Remote Duration: 10-12 weeks (Summer 2025)

HALSTEAD MEDIA GROUP LLC

SEO and GEO Manager

Middletown, DE · On-site +1

$62K - $68K/yr

AI-driven search, evolving SERPs, local visibility, entity optimization, changing user behavior ... This role is 99% remote , with optional annual travel for training or team planning. About Halstead ...

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Remote Ai Infrastructure Engineer information

What is a remote AI infrastructure engineer?

A Remote AI Infrastructure Engineer is a professional who designs, builds, and maintains the systems and tools necessary to support artificial intelligence (AI) projects, all while working remotely. Their responsibilities often include developing and optimizing cloud or on-premise infrastructure, ensuring scalability, managing data pipelines, and supporting machine learning workflows. They work closely with data scientists and software engineers to ensure AI models can be efficiently trained, deployed, and monitored in production environments. The remote aspect allows them to perform these tasks from anywhere, using collaboration tools and cloud platforms.

What are the key skills and qualifications needed to thrive as a remote AI infrastructure engineer?

To thrive as a Remote AI Infrastructure Engineer, you need expertise in cloud computing, distributed systems, and software engineering, often supported by a degree in computer science or a related field. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud platforms such as AWS, Azure, or GCP is typically required, along with knowledge of CI/CD pipelines and AI/ML frameworks. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in this role. These skills ensure robust, scalable AI infrastructure that supports rapid innovation and seamless collaboration across distributed teams.

What are some common challenges faced by remote AI infrastructure engineers, and how can they be addressed?

Remote AI Infrastructure Engineers often encounter challenges such as managing distributed systems, ensuring robust data pipelines, and maintaining high system reliability across different time zones. Collaboration with cross-functional teams can require clear communication and effective use of remote tools. To address these challenges, it's important to establish strong documentation practices, schedule regular check-ins, and utilize automated monitoring and deployment solutions. Staying proactive and adaptable helps ensure seamless infrastructure performance and team alignment.

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Remote Ai Infrastructure Engineer jobs near you

Senior Director, Marketing Data Strategy (Remote)

Forbes Advisor

Wilmington, DE • On-site, Remote

Full-time

Re-posted 17 days ago

Job description

At Forbes Advisor, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance so they can make informed decisions they feel confident in and get back to doing the things they care about most.
We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Forbes Advisor boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Forbes Advisor's global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.
We're looking for a leader who wants to help build the future of marketing data strategy at Forbes Digital Marketing. Our Data & Analytics organisation sits at the heart of our mission. We build the products, platforms and intelligence that power marketing, commercial decision making, customer understanding and revenue growth across the business. As we continue to invest in first-party data, machine learning, marketing technology and AI, we're looking for a senior leader to help define the next phase of that journey.
This is not a traditional data leadership role. Working directly with the VP of Data Strategy, you'll act as a trusted technical counterpart - bringing deep expertise, challenging thinking, and helping shape strategic decisions across our marketing data ecosystem. You'll join an established leadership team spanning Engineering, Analytics, Data Science and Operations, helping define how customer data, marketing measurement, attribution, analytics and AI come together to improve business performance. You'll also act as a senior technical counterpart to key technology partners, helping ensure our strategy evolves alongside the wider marketing ecosystem.
If you're motivated by solving complex commercial problems, challenging conventional thinking, building products rather than projects, and helping organisations use data more effectively, we'd love to hear from you.
Responsibilities:
  • Marketing Measurement & Attribution: Help define how we measure marketing performance across channels and ensure that our measurement strategy enables better commercial decisions.
  • Customer Intelligence & First-Party Data: Help shape how customer data is collected, organised and activated across the business.
  • Marketing Platforms & Activation: Ensure our marketing platforms receive the right data to optimise effectively and maximise commercial performance.
  • Data Products & Decision Intelligence: Help move the organisation from one-off analysis towards reusable products and decision-support capabilities.
  • Strategic Leadership: Challenge assumptions and influence the future direction of our marketing data strategy.
  • Team Leadership & Capability Building: Play an important role in building and developing the next generation of leaders across Data & Analytics.

Requirements:
We're deliberately not looking for someone who has done everything. Instead, you'll bring deep expertise in one or more of our strategic domains together with the ability to collaborate across the wider marketing data ecosystem.
You'll likely bring:
  • Experience leading strategic marketing data, customer intelligence, analytics or data product initiatives that delivered measurable business outcomes.
  • Deep expertise in at least one of the following:
  • Marketing measurement and attribution
  • Customer intelligence and first-party data
  • Applied data science and predictive modelling
  • Marketing platforms and activation
  • Data products and decision intelligence
  • A track record of building products, platforms or capabilities that deliver measurable commercial outcomes.
  • Deep understanding of Performance Marketing
  • Strong commercial judgement and the ability to prioritise initiatives based on business value.
  • Confidence influencing senior stakeholders across both technical and non-technical audiences.
  • Experience developing teams, coaching leaders and building organisational capability.
  • Curiosity about emerging technologies - particularly AI - and a pragmatic approach to applying them where they create genuine business value.

Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
#LI-REMOTE #LI-NM1

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