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Remote Bms Design Engineer Jobs in Midland, GA (NOW HIRING)

iOS Engineer -Remote

Columbus, GA · Remote

$61.63 - $88.47/hr

We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ... You will work at the cutting edge of technology to design, develop, and maintain the Poe iOS app.

Engineer, E&I

Columbus, GA · On-site +1

$140K - $180K/yr

This is a remote role and can be based anywhere in the United States. Must be able to travel up to ... Support construction and commissioning during and after completion of design engineering, for ...

ELECTRICAL ENGINEER KYSOR WARREN - EPTA Design the electrical part of the refrigeration units and ... Epta offers the opportunity for remote work whenever possible, along with providing the necessary ...

Platform Engineer III (Workday)

Columbus, GA · On-site +1

$88K - $140K/yr

If the role is remote, there may be occasions that you are requested to come to the office based on ... Workday certified Principal Duties & Responsibilities • Provides support on architectural design ...

If the role is remote, there may be occasions that you are requested to come to the office based on ... design patterns and modern standards • Significant experience leading Salesforce platform ...

Amteck, a nationally recognized Top 50 Electrical Design-Build Contractor, is redefining what it ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

Remote Bms Design Engineer information

See Midland, GA salary details

$16

$45

$65

How much do remote bms design engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote bms design engineer in Midland, GA is $45.44, according to ZipRecruiter salary data. Most workers in this role earn between $35.14 and $55.38 per hour, depending on experience, location, and employer.

What is a remote BMS design engineer?

Remote BMS (Battery Management System) Design Engineers are professionals who design, develop, and optimize battery management systems for various applications, such as electric vehicles or renewable energy storage, while working remotely. They focus on creating hardware and software solutions that monitor and control battery performance, safety, and longevity. Working remotely allows these engineers to collaborate with teams, create schematics, develop algorithms, and test systems using digital tools and communication platforms.

What are the key skills and qualifications needed to thrive as a remote BMS design engineer, and why are they important?

To thrive as a Remote BMS (Building Management System) Design Engineer, you need expertise in electrical engineering, control systems, and HVAC principles, typically supported by a relevant engineering degree. Familiarity with BMS software platforms like Siemens Desigo, Schneider EcoStruxure, or Honeywell, and proficiency in AutoCAD or similar CAD tools, are commonly required. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills, especially when collaborating remotely with multidisciplinary teams. These skills and qualifications are essential to deliver robust, energy-efficient BMS solutions and ensure seamless project execution across diverse client sites.

What are some common challenges faced by remote BMS design engineers and how can they be addressed?

Remote BMS Design Engineers often encounter challenges such as coordinating effectively with cross-functional teams across different time zones, ensuring robust communication, and managing project timelines without in-person collaboration. To address these, leveraging project management tools, maintaining clear documentation, and scheduling regular virtual meetings are essential. Additionally, staying updated with the latest BMS technologies and cybersecurity standards is important for delivering reliable and secure systems. Developing strong self-motivation and proactive communication skills can greatly enhance success in this remote role.

What is the difference between Remote Bms Design Engineer vs Remote Battery Management System (BMS) Technician?

AspectRemote Bms Design EngineerRemote BMS Technician
CredentialsBachelor's in Electrical/Electronic Engineering, BMS certificationsTechnical diploma or certification in BMS maintenance
Work EnvironmentDesign offices, remote collaboration, project planningFieldwork, troubleshooting, on-site or remote support
Industry UsageProduct development, system design, engineering firmsInstallation, maintenance, repair services

The Remote Bms Design Engineer focuses on designing and developing BMS systems, requiring engineering expertise and certifications. In contrast, the Remote BMS Technician primarily handles installation, troubleshooting, and maintenance tasks. Both roles are essential in the BMS industry but differ in responsibilities, skills, and work environments.

What cities near Midland, GA are hiring for Remote Bms Design Engineer jobs? Cities near Midland, GA with the most Remote Bms Design Engineer job openings:

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Columbus, GA • Remote

Full-time

This job post has expired today. Applications are no longer accepted.


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.