... remote position. We are seeking a highly skilled and innovative Generative AI Automation Engineer ... Optimize models and processes based on performance metrics and user feedback. Research and ...
... remote position. We are seeking a highly skilled and innovative Generative AI Automation Engineer ... Optimize models and processes based on performance metrics and user feedback. Research and ...
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Where Your Purpose Accelerates Our Mission As a Senior Remote Upgrade Engineer within Baxter Care ... Your work will support healthcare facilities as they adopt new technologies, enhance performance ...
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Active Full-Time Remote Employment: Flexible/Hybrid Job Number: 05426 Department: Information ... Monitor application performance and resolve technical issues while maintaining system reliability ...
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Background in SOC operations, detection engineering, threat hunting, or cyber threat intelligence ... LI-MP1LI-REMOTE
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Remote Solar Performance Engineer information
See Washington, NC salary details
$9.61 - $16.49
0% of jobs
$16.49 - $23.36
0% of jobs
$23.36 - $30.24
1% of jobs
$30.24 - $37.11
11% of jobs
$41.98 is the 25th percentile. Wages below this are outliers.
$37.11 - $43.99
19% of jobs
$43.99 - $50.86
19% of jobs
The median wage is $51.03 / hr.
$50.86 - $57.74
22% of jobs
$58.92 is the 75th percentile. Wages above this are outliers.
$57.74 - $64.62
20% of jobs
$64.62 - $71.49
4% of jobs
$71.49 - $78.37
4% of jobs
$78.37 - $85.24
0% of jobs
$9
$52
$85
How much do remote solar performance engineer jobs pay per hour?
What is a remote solar performance engineer?
What are the key skills and qualifications needed to thrive as a remote solar performance engineer?
Are remote solar performance engineers in demand?
How does a remote solar performance engineer typically collaborate with on-site teams to resolve system issues?
What is the difference between Remote Solar Performance Engineer vs Remote Solar Design Engineer?
| Aspect | Remote Solar Performance Engineer | Remote Solar Design Engineer |
|---|---|---|
| Primary Focus | Optimizing solar system performance, analyzing data, troubleshooting issues | Creating system layouts, designing solar panel configurations, selecting components |
| Required Skills | Data analysis, performance monitoring, electrical knowledge | Design software proficiency, electrical and mechanical design skills |
| Work Environment | Field data analysis, remote monitoring, collaboration with installation teams | Office-based design work, remote collaboration with engineers and clients |
| Certifications | PV installation certifications, electrical certifications often preferred | Design certifications like NABCEP Designer, CAD proficiency |
The Remote Solar Performance Engineer focuses on analyzing and improving the efficiency of existing solar systems through data analysis and troubleshooting. In contrast, the Remote Solar Design Engineer specializes in designing new solar systems, creating layouts, and selecting components. Both roles require technical knowledge and certifications, but their core responsibilities differ in system optimization versus system design.

Full-time
Re-posted 14 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:
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Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.
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Integrate pre-trained models or build custom models for specific use cases.
Automation Design and Development:
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Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.
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Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.
Data Management:
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Collect, preprocess, and analyze large datasets for training and validating AI models.
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Ensure data privacy and compliance with regulatory requirements during data handling.
System Integration:
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Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.
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Build and maintain pipelines for real-time AI inference and automation.
Monitoring and Optimization:
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Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.
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Optimize models and processes based on performance metrics and user feedback.
Research and Innovation:
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Stay updated with the latest advancements in Generative AI and automation technologies.
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Identify opportunities for implementing cutting-edge AI solutions to address business challenges.
Documentation and Collaboration:
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Document technical designs, workflows, and implementation strategies.
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Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.
Required Qualifications:
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Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
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Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.
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Proficiency in designing and deploying machine learning models, particularly in Generative AI.
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Experience with automation tools (e.g., RPA, workflow orchestration tools).
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Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).
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Solid understanding of data structures, algorithms, and software design principles.
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Strong analytical and problem-solving skills.
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Excellent communication and teamwork abilities.
Preferred Qualifications:
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Experience with NLP, image generation, or multimodal AI models.
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Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.
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Familiarity with prompt engineering and fine-tuning Generative AI models.
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Knowledge of MLOps practices for deploying and maintaining AI solutions.
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Previous experience in automation or workflow optimization projects.
Why Join Us?
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Work with cutting-edge Generative AI technologies.
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Collaborate with a team of forward-thinking innovators.
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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.
About EnthuZiastic
Sourced by ZipRecruiter
Industry
E-learning
Company size
11 - 50 Employees
Headquarters location
San Jose, CA, US
Year founded
2020