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Remote Robot Operating System Jobs in Colorado (NOW HIRING)

Head of Revenue

Denver, CO · Remote

$180K - $230K/yr

... . This is not a Head of Sales and not a Head of Marketing. It's a systems leader who turns ... This full-time position is available as a remote role that offers an annual base salary in the ...

None Potential for Remote Work: ORA_ON_SITE Description Join SAIC's team and play a pivotal role in ... We are seeking an experienced Information System Security Engineer (ISSE) to lead cybersecurity and ...

Senior Numerical Algorithm Software Engineer

Boulder, CO · On-site +1

$128K - $170K/yr

... operating systems as part of government frameworks. Responsibilities * Lead the research, development, and maturation of advanced numerical algorithms for remote sensing data exploitation across ...

Senior Numerical Algorithm Software Engineer

Boulder, CO · On-site +1

$127K - $167K/yr

... operating systems as part of government frameworks. Responsibilities * Lead the research, development, and maturation of advanced numerical algorithms for remote sensing data exploitation across ...

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Remote Robot Operating System information

What is the difference between Remote Robot Operating System vs Remote Robotics Technician?

AspectRemote Robot Operating SystemRemote Robotics Technician
CredentialsKnowledge of ROS, programming skillsTechnical diploma or degree, robotics certifications
Work EnvironmentSoftware development, system integrationField support, troubleshooting remotely
Industry UsageRobotics software development companiesManufacturing, research labs, automation firms
Search IntentLearning about robotics software frameworksFinding remote robotics support jobs

Remote Robot Operating System focuses on developing and managing robotics software frameworks like ROS, while Remote Robotics Technicians handle remote troubleshooting and maintenance of robotic systems. Both roles require technical skills but differ in their primary functions and work environments.

What are the most commonly searched types of Robot Operating System jobs in Colorado? The most popular types of Robot Operating System jobs in Colorado are:
What are popular job titles related to Remote Robot Operating System jobs in Colorado? For Remote Robot Operating System jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Robot Operating System jobs in Colorado look for? The top searched job categories for Remote Robot Operating System jobs in Colorado are:
What cities in Colorado are hiring for Remote Robot Operating System jobs? Cities in Colorado with the most Remote Robot Operating System job openings:
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Denver, CO • Remote

Other

Posted 17 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.