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Internship Google Apps Script Developer Jobs in Colorado

Nrel

Cybersecurity Engineering I/II

Golden, CO

You'll script and automate controls, produce security artifacts (screenshots, log exports), and ... web apps, cloud). * Analyze logs using SIEM/log tools and produce meaningful reporting for ...

New

Danaher

Digital Analyst Internships

Colorado Springs, CO

$95.40K - $112.90K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ...

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What is the difference between Internship Google Apps Script Developer vs Google Apps Script Developer?

AspectInternship Google Apps Script DeveloperGoogle Apps Script Developer
Experience LevelEntry-level, internship positionMid-level to senior developer
CredentialsTypically students or recent graduates, minimal certificationsRelevant certifications or experience in scripting and Google Apps
Work EnvironmentInternship programs, often part-time or temporaryFull-time or freelance projects within organizations
ResponsibilitiesAssisting in script development, learning, and support tasksDesigning, developing, and maintaining complex Google Apps Scripts

The main difference between an Internship Google Apps Script Developer and a Google Apps Script Developer lies in experience, responsibilities, and employment status. Internships are entry-level roles aimed at learning and gaining experience, while Google Apps Script Developers are more experienced professionals handling complex projects.

What are the most commonly searched types of Google Apps Script Developer jobs in Colorado? The most popular types of Google Apps Script Developer jobs in Colorado are:
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Internship Google Apps Script Developer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Thornton, CO • Remote

Other

Posted 7 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