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Remote Google Earth Engine Developer Jobs in Oregon

Digital Marketing Web Specialist Remote ( US Only, excluding California, Hawaii, and Alaska ... Implement on-page SEO best practices: metadata, heading hierarchy, structured data, and image ...

Planet is looking for a Senior Engineering Manager with a proven background in guiding and ... the Earth. This is a full-time, remote position based in the United States. If located near an ...

Senior Site Reliability Engineer- Remote

OR · Remote

$57 - $75.75/hr

You will be leveraging your software engineering expertise to develop software platforms and tools ... Strong knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform.

... engine that drives developer-led growth, accelerates pipeline, and earns genuine trust in the open ... Fully remote, with flexibility to operate in the way that works best for you and your team

You will work in close partnership with the Fusion team - the engine powering dbt's next-generation ... Comfort working asynchronously as part of a distributed, remote team. You'll Have an Edge If You ...

Onboard and offboard users by managing access through Google Admin Console and related tools ... Ability to collaborate effectively with cross-functional teams in a remote, asynchronous ...

Description This is a remote/virtual position. Candidate can be based anywhere within the United ... These engineering services include but are not limited to earth retention systems, deep and shallow ...

Description This is a remote/virtual position. Candidate can be based anywhere within the United ... These engineering services include but are not limited to earth retention systems, deep and shallow ...

Senior Software Engineer

OR · Remote

$122K - $161K/yr

Senior Software Engineer Remote (US) | Reports to: Sr. Manager of Engineering About the Role 15Five ... Build and support 3rd party integrations with platforms like Slack, MS Teams, Google Calendar ...

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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 job categories do people searching Remote Google Earth Engine Developer jobs in Oregon look for? The top searched job categories for Remote Google Earth Engine Developer jobs in Oregon are:
What cities in Oregon are hiring for Remote Google Earth Engine Developer jobs? Cities in Oregon with the most Remote Google Earth Engine Developer job openings:
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Salem, OR • Remote

Other

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.