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Remote Power Management Jobs in Delaware (NOW HIRING)

ABB

Data Center COE Project Management Leader

DE · Remote

$119K - $190K/yr

Remote in the US This role is contributing to the ELSE Data Center Services Center of Excellence in ... Backgrounds in service, project management, switchgear, power delivery, and familiarity with ABB ...

ABB

Product Manager

DE · On-site +1

A very goodunderstanding of power electronic systems togetherwith domain and marketknow-howare ... global product management team. * Proper hand-over of won projects to engineering ...

Hologic Inc.

Program Director, R&D PMO

Newark, DE · On-site +1

$170K - $303K/yr

Open to remote work with 25% travel. As Program Director, R&D PMO , you will provide strategic ... Advanced proficiency in Project Management tools (Smartsheet, MS Project, Power BI/One Pager Pro)

White Tiger Connections

Bookkeeper

Wilmington, DE · Remote

$80K - $120K/yr

This is a remote position. About the Firm Our client, a well-established wealth management firm ... Utilize QuickBooks Desktop and QuickBooks Online extensively as a power user. Requirements * 5-7 ...

ABB

Strategic Marketing Manager, Data Centers

DE · On-site +1

$92K - $113K/yr

... Cary, NC office or full-remote in the United States. This role is contributing to the ... improve power delivery and security, enhance energy management, efficiency and operational ...

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Remote Power Management information

What is the difference between Remote Power Management vs Remote Network Administration?

AspectRemote Power ManagementRemote Network Administration
Primary FocusControlling and managing power systems remotelyManaging and maintaining network infrastructure remotely
Required SkillsPower systems, hardware management, remote access toolsNetwork protocols, security, troubleshooting
CertificationsData center certifications, hardware management certificationsCCNA, CompTIA Network+
Work EnvironmentData centers, server rooms, remote management platformsOffices, data centers, remote access via software

Remote Power Management focuses on controlling power systems remotely, often within data centers, while Remote Network Administration involves managing network infrastructure. Both roles require technical skills and certifications, but they target different aspects of IT infrastructure. Understanding these differences helps organizations assign the right professionals for each task.

What is remote power management?

Remote power management refers to the ability to monitor, control, and manage the power usage of devices and systems from a distance, typically using specialized software and network-connected hardware. This technology allows IT administrators or facility managers to remotely turn equipment on or off, reboot devices, and monitor power consumption without being physically present. Remote power management is commonly used in data centers, offices, and industrial settings to improve energy efficiency, reduce downtime, and enable faster response to power-related issues.

What are the key skills and qualifications needed to thrive as a Remote Power Management Specialist, and why are they important?

To thrive as a Remote Power Management Specialist, you need strong knowledge of electrical systems, power distribution, and energy management, typically supported by a degree in electrical engineering or a related field. Familiarity with SCADA systems, energy management software, and relevant certifications such as Certified Energy Manager (CEM) are commonly required. Excellent analytical thinking, problem-solving, and communication skills are vital for working with remote teams and responding effectively to system issues. These skills are crucial to ensure reliable power delivery, optimize energy usage, and quickly resolve any disruptions in remote or distributed environments.

What are some common challenges faced in a Remote Power Management role, and how can they be addressed?

Professionals in Remote Power Management often encounter challenges such as maintaining reliable system uptime across multiple sites, troubleshooting issues from a distance, and ensuring effective communication with on-site personnel. Addressing these challenges typically involves leveraging advanced monitoring tools, establishing clear protocols for remote diagnostics, and building strong relationships with local teams for swift on-site interventions. Continuous professional development in emerging technologies and regular team coordination also play crucial roles in overcoming these obstacles and ensuring optimal energy efficiency.
What are popular job titles related to Remote Power Management jobs in Delaware? For Remote Power Management jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Remote Power Management jobs in Delaware look for? The top searched job categories for Remote Power Management jobs in Delaware are:
What cities in Delaware are hiring for Remote Power Management jobs? Cities in Delaware with the most Remote Power Management job openings:
Remote Power Management jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Middletown, DE • Remote

Other

Posted 17 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply