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Remote Power Distribution Engineer Jobs in Kansas

Auvik Networks

We're a fully distributed team and we're prepared to continue to support working from home (or the ... AI-powered capabilities in our product. You'll work alongside a Staff Data Engineer (who owns the ...

Harris

When time is of the essence and knowledge is quite literally power, reliable integrated systems ... remote

Harris

When time is of the essence and knowledge is quite literally power, reliable integrated systems ... remote

NinjaOne

Senior Site Reliability Engineer

Kansas, KS · On-site +1

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Good understanding of containers, Fargate, Kubernetes, and overall distributed microservice ...

PICTOR LABS INC

$89K - $123K/yr

... edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while ... Remote US Company: Pictor Labs Employment Type: Full-time Responsibilities * Design, development ...

Overstory

Vegetation-caused outages are a leading cause of power disruption and a growing driver of wildfire ... Experience with remote sensing, satellite imagery, or other earth observation data * SQL or ...

NinjaOne

Senior Performance Software Engineer

Kansas, KS · On-site +1

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Deep expertise with distributed computing systems and container native environments. * Proficient ...

Kiewit Corporation

Senior Fire Life Safety Engineer

Lenexa, KS · On-site +1

$98K - $134K/yr

The Fire & Life Safety (FLS) Engineering Department primarily supports Kiewit's power generation ... Some consideration may be made for highly skilled and Lead engineers in other remote locations. We ...

NinjaOne

Software Packaging Engineer

Kansas, KS · On-site +1

You will research vendor applications, analyze installers, and build package metadata that powers ... Location - We are flexible on remote working from home, if you are located in the USA and reside in ...

Generac

Senior Controls Engineer

Kansas City, KS · On-site +1

$115K - $155K/yr

We believe power is a promise - a shared commitment to be there for others when it matters most ... Lead onsite and remote startup and commissioning activities, including development and execution of ...

NinjaOne

Manager, Software Engineering

Kansas, KS · On-site +1

Team Leadership - Lead and grow distributed, remote teams of UI and Server developers supporting features across our suite of current and upcoming software products. Mentor and provide feedback to ...

ABB

Strategic Segment Proposal Engineer

Liberal, KS · Remote

This is a remote position. Candidates can be located anywhere in the US. This role is contributing ... Deep technical knowledge of ABB electrical distribution product portfolio, general industry design ...

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Remote Power Distribution Engineer information

What does a Remote Power Distribution Engineer do?

A Remote Power Distribution Engineer is responsible for designing, analyzing, and maintaining electrical power distribution systems, often from a remote location. They use specialized software and tools to monitor power grids, troubleshoot issues, and optimize the distribution of electricity to ensure reliability and efficiency. Their work may involve collaborating with field teams, planning system upgrades, and ensuring compliance with safety and regulatory standards. Remote work allows them to manage projects and resolve problems without needing to be physically present at power distribution sites.

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

To thrive as a Remote Power Distribution Engineer, you need a solid background in electrical engineering, power systems analysis, and a relevant engineering degree with licensure such as a Professional Engineer (PE) certification. Familiarity with software like AutoCAD, SCADA systems, and power flow analysis tools is typically required. Strong problem-solving abilities, effective communication, and the ability to collaborate remotely are vital soft skills for this role. These competencies enable engineers to ensure safe, efficient, and reliable power distribution while coordinating with dispersed teams and stakeholders.

What are some common challenges faced by Remote Power Distribution Engineers, and how can they be effectively managed?

Remote Power Distribution Engineers often encounter challenges such as coordinating with on-site teams across different locations, troubleshooting issues without being physically present, and ensuring reliable communication with stakeholders. Effective management of these challenges involves leveraging advanced remote monitoring tools, maintaining clear communication protocols, and staying updated on the latest industry standards. Building strong relationships with field personnel and participating in regular virtual meetings can also help bridge the gap and ensure smooth project execution.
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Remote Power Distribution Engineer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Kansas City, KS • Remote

Full-time

Posted 10 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