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Remote Google Earth Engine Developer Jobs in Georgia

United Airlines

Junior Windchill Developer

Atlanta, GA · On-site +1

$46.40K - $111.09K/yr

Remote (Anywhere across USA) About the job you're considering We are looking for a motivated Junior ... Engine, and Windchill APIs. * Develop and maintain Workflows, Lifecycle templates, and UI ...

Lumenalta

BRMS / Drools (Java) Developer

Atlanta, GA · Remote

$60K - $96K/yr

What You'll Do Design, develop, and optimize business rules using the Drools Rule Engine ... This is a fully remote position; however, candidates must be based in regions that align with the ...

Warnerbros

Director, Remote Productions

Atlanta, GA · Remote

... Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the ... Communicate proactively and professionally with all departments-engineering, graphics, audio, EVS ...

Now100

Site Reliability Engineer - SRE

Atlanta, GA · On-site +1

$54.25 - $72/hr

Remote Possible, however candidates will move to work onsite/Hybrid eventually. Please make sure ... Strong experience in Google Cloud platform. As a Staff Software Engineer, you will be a core player ...

Celestica

Senior Devops AI tools Engineer

Atlanta, GA · Remote

$125K - $160.60K/yr

Req ID: 135521 Remote Position: Yes Region: Americas Country: USA Summary The DevTestOps engineer ... Google Enterprise Tools, Azure DevOps (or Git/Jenkins), Jira, qTest, VM Management, Black Duck, and ...

Ditto

$223K - $259K/yr

Whether you're in a stadium, airplane, or remote military base, Ditto's peer-to-peer sync engine ... Experience at scale, ideally at a FAANG or major cloud provider (Google, Meta, Amazon, Microsoft ...

Ditto

$185K - $305K/yr

Whether you're in a stadium, airplane, or remote military base, Ditto's peer-to-peer sync engine ... Experience at scale, ideally at a FAANG or major cloud provider (Google, Meta, Amazon, Microsoft ...

Deloitte

Databricks Engineer

Atlanta, GA · On-site +1

Experience building Databricks environments in Microsoft Azure, Amazon Web Services, or Google ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

RIT Solutions

Sr. Data Engineer

Atlanta, GA · Remote

$101.90K - $138.50K/yr

This is a highly technical role requiring expertise in Google Cloud Platform (GCP) native services ... This position requires a strong commitment to working full-time onsite (with potential remote ...

RIT Solutions, Inc.

Sr. Data Engineer

Atlanta, GA · Remote

$101.90K - $138.50K/yr

This is a highly technical role requiring expertise in Google Cloud Platform (GCP) native services ... This position requires a strong commitment to working full-time onsite (with potential remote ...

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All JobsRemote Google Earth Engine Developer JobsRemote Google Earth Engine Developer Jobs in Georgia

Remote Google Earth Engine Developer information

What is the difference between Remote Google Earth Engine Developer vs Remote GIS Analyst?

AspectRemote Google Earth Engine DeveloperRemote GIS Analyst
Required CredentialsDegree in GIS, Geography, Computer Science; experience with Google Earth EngineDegree in GIS, Geography, Environmental Science; proficiency in GIS software
Work EnvironmentRemote, often collaborative with developers and data scientistsRemote, often analytical and reporting-focused
Industry UsageEnvironmental monitoring, climate analysis, remote sensing projectsUrban planning, resource management, spatial data analysis
Search & Comparison IntentTechnical, development-focused roles involving coding and data processingData analysis, mapping, and reporting roles using GIS tools

The main difference is that Remote Google Earth Engine Developers focus on coding and developing applications using Google Earth Engine for remote sensing data, while Remote GIS Analysts primarily analyze spatial data and generate reports using GIS software. Both roles require GIS knowledge but differ in technical depth and project focus.

What are popular job titles related to Remote Google Earth Engine Developer jobs in Georgia? For Remote Google Earth Engine Developer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Google Earth Engine Developer jobs in Georgia look for? The top searched job categories for Remote Google Earth Engine Developer jobs in Georgia are:
What cities in Georgia are hiring for Remote Google Earth Engine Developer jobs? Cities in Georgia with the most Remote Google Earth Engine Developer job openings:
Remote Google Earth Engine Developer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Kennesaw, GA • Remote

Other

Posted 9 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