ZipRecruiter

Log In

2

Remote Google Data Center Engineer Jobs in Ohio (NOW HIRING)

Riverside Research

Remote Sensing Scientist

Dayton, OH · Remote

$91K - $140K/yr

... Intelligence Center (NASIC) at Wright Patterson AFB, OH. You will be working with a team of ... data formats Desired Qualifications: * Master's degree in Electrical Engineering, Physics, or ...

Synergy

Palantir Data Engineer

Perrysburg, OH · On-site +1

$107K - $129K/yr

Palantir Foundry Engineer #0910 Perrysburg, OH 43551 / Hybrid-Remote Long-term ***PLEASE DO NOT ... Develop and maintain data transformations, ML workflows, and automation scripts using Python and ...

Huntington

Data Engineer

Columbus, OH · On-site +1

$63K - $124K/yr

Under general direction, the data engineer will devise and/or modify procedures and software to ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

New

Huntington

Data Engineer

Columbus, OH · On-site +1

$63K - $124K/yr

Under general direction, the data engineer will devise and/or modify procedures and software to ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

New

Huntington

Data Engineer

Columbus, OH · On-site +1

$63K - $124K/yr

Under general direction, the data engineer will devise and/or modify procedures and software to ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

New

micro1 AI

AI Sensor Data Specialist - Remote

Akron, OH · Remote

$13 - $15/hr

Data-Video Generalist Job Type: Contractor Location: Remote - based in Alabama, Alaska, Arkansas ... Must own a compatible smartphone: iPhone 12 or later, Google Pixel 6 to 9, or Samsung Galaxy S21 or ...

micro1 AI

AI Sensor Data Specialist - Remote

Cleveland, OH · Remote

$13 - $15/hr

Data-Video Generalist Job Type: Contractor Location: Remote - based in Alabama, Alaska, Arkansas ... Must own a compatible smartphone: iPhone 12 or later, Google Pixel 6 to 9, or Samsung Galaxy S21 or ...

micro1 AI

AI Sensor Data Specialist - Remote

Toledo, OH · Remote

$13 - $15/hr

Data-Video Generalist Job Type: Contractor Location: Remote - based in Alabama, Alaska, Arkansas ... Must own a compatible smartphone: iPhone 12 or later, Google Pixel 6 to 9, or Samsung Galaxy S21 or ...

micro1 AI

AI Sensor Data Specialist - Remote

Columbus, OH · Remote

$13 - $15/hr

Data-Video Generalist Job Type: Contractor Location: Remote - based in Alabama, Alaska, Arkansas ... Must own a compatible smartphone: iPhone 12 or later, Google Pixel 6 to 9, or Samsung Galaxy S21 or ...

micro1 AI

AI Sensor Data Specialist - Remote

Dayton, OH · Remote

$13 - $15/hr

Data-Video Generalist Job Type: Contractor Location: Remote - based in Alabama, Alaska, Arkansas ... Must own a compatible smartphone: iPhone 12 or later, Google Pixel 6 to 9, or Samsung Galaxy S21 or ...

Qualus

Senior Engineer - Mechanical

West Chester, OH · On-site +1

$100K - $160K/yr

... remote support. * Read and understand technical requirements presented in specifications and ... The firm partners with utilities, commercial, industrial, data center, and government clients, and ...

FMHC

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

The Data Engineer II will play a vital role in our Data transformation journey - helping move the ... If fully remote: must be willing to travel * This position will require the ability to work ...

previous page

Showing results 41-60

All JobsGoogle Data Center Engineer JobsRemote Google Data Center Engineer JobsRemote Google Data Center Engineer Jobs in Ohio

Remote Google Data Center Engineer information

What is the salary of remote Google Data Center Engineer in Google?

A remote Google Data Center Engineer typically earns between $80,000 and $150,000 annually, depending on experience, location, and specific responsibilities. Salaries may also include benefits such as stock options and health insurance, and the role often requires knowledge of data center infrastructure, networking, and troubleshooting skills.

Is it possible to work remotely for Google Data Center Engineers?

Google Data Center Engineers typically work on-site to manage hardware, infrastructure, and physical facilities, but some roles may offer remote or hybrid options depending on the specific position and team requirements. Remote work policies vary and often depend on the nature of the tasks and security considerations, with technical skills and certifications sometimes influencing flexibility.

What is the difference between Remote Google Data Center Engineer vs Remote Network Operations Engineer?

AspectRemote Google Data Center EngineerRemote Network Operations Engineer
CredentialsRelevant certifications (e.g., Cisco, CompTIA), technical degreesNetworking certifications (e.g., CCNA, CCNP), technical degrees
Work EnvironmentData centers, hardware maintenance, infrastructure setupNetwork monitoring, troubleshooting, infrastructure management
Employer & IndustryGoogle, tech/data center industryTelecom, internet service providers, large enterprises

Remote Google Data Center Engineers focus on maintaining and optimizing Google's physical data center infrastructure, including hardware and systems. Remote Network Operations Engineers primarily monitor and troubleshoot network systems across various organizations. While both roles require technical certifications and involve infrastructure work, the Data Center Engineer emphasizes hardware and physical infrastructure, whereas the Network Operations Engineer concentrates on network performance and connectivity.

Can remote Google Data Center Engineer jobs be remote?

Google Data Center Engineer roles are typically based on-site due to the hands-on nature of maintaining and troubleshooting hardware. However, some companies may offer remote or hybrid options for certain tasks or senior positions, but this varies by employer and role requirements.
What are the most commonly searched types of Google Data Center Engineer jobs in Ohio? The most popular types of Google Data Center Engineer jobs in Ohio are:
What are popular job titles related to Remote Google Data Center Engineer jobs in Ohio? For Remote Google Data Center Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Google Data Center Engineer jobs in Ohio look for? The top searched job categories for Remote Google Data Center Engineer jobs in Ohio are:
What cities in Ohio are hiring for Remote Google Data Center Engineer jobs? Cities in Ohio with the most Remote Google Data Center Engineer job openings:
Remote Google Data Center Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Cleveland, OH • Remote

Full-time

Re-posted 19 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