ZipRecruiter

Log In

2

Remote Mechanical Engineering Machine Learning Jobs in Colorado

Siemens

$18 - $50/hr

As a Thermo-Mechanical Product Engineering Intern , you will support the development and ... Comfortable working in a remote work environment preferably in the California region * Experience ...

Siemens

$18 - $50/hr

As a Thermo-Mechanical Product Engineering Intern , you will support the development and ... Comfortable working in a remote work environment preferably in the California region * Experience ...

Siemens

$18 - $50/hr

As a Thermo-Mechanical Product Engineering Intern , you will support the development and ... Comfortable working in a remote work environment preferably in the California region * Experience ...

Siemens

$18 - $50/hr

As a Thermo-Mechanical Product Engineering Intern , you will support the development and ... Comfortable working in a remote work environment preferably in the California region * Experience ...

Siemens

$18 - $50/hr

As a Thermo-Mechanical Product Engineering Intern , you will support the development and ... Comfortable working in a remote work environment preferably in the California region * Experience ...

Booz Allen Hamilton, Inc.

Data Engineer, Mid

Aurora, CO · On-site +1

$77K - $176K/yr

... science, AI, machine learning, probability modeling, data mining, data engineering, or data ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Gusto, Inc.

Software Engineer, ML Platform

Denver, CO · On-site +1

$190K - $240K/yr

Support the development of new patterns for the deployment of machine learning models with CI/CD pipelines and automated testing. * Apply AI tools as a regular part of your engineering workflow, and ...

previous page

Showing results 41-60

All JobsMechanical Engineering Machine Learning JobsRemote Mechanical Engineering Machine Learning JobsRemote Mechanical Engineering Machine Learning Jobs in Colorado

Remote Mechanical Engineering Machine Learning information

What is a remote mechanical engineering machine learning job?

A Remote Mechanical Engineering Machine Learning job combines mechanical engineering expertise with machine learning techniques, allowing professionals to develop intelligent systems and optimize mechanical processes from a remote location. These roles often involve tasks such as analyzing engineering data, building predictive models, automating design tasks, and enhancing product performance using AI algorithms. Working remotely, engineers collaborate with teams through digital platforms, contributing to research, development, and deployment of machine learning solutions in mechanical engineering applications.

What are some typical challenges faced by remote mechanical engineers working with machine learning, and how can they be managed?

Remote mechanical engineers who work with machine learning often face challenges such as effective cross-functional collaboration, accessing and sharing large datasets, and keeping communication clear across distributed teams. To manage these, it's important to leverage collaborative tools for version control, data management, and regular virtual meetings. Building strong communication habits and proactively seeking feedback from data scientists, software engineers, and other stakeholders will help ensure project alignment and smooth workflows.

What is the difference between Remote Mechanical Engineering Machine Learning vs Remote Mechanical Engineering?

AspectRemote Mechanical EngineeringRemote Mechanical Engineering Machine Learning
Required CredentialsBachelor's or Master's in Mechanical EngineeringBachelor's or Master's in Mechanical Engineering; knowledge of Machine Learning
Work EnvironmentDesign, analysis, CAD modeling, testingDesign, analysis, CAD modeling with ML integration, data analysis
Industry UsageManufacturing, automotive, aerospaceManufacturing, automotive, aerospace with AI/ML applications
Common Search/ComparisonYesYes

Remote Mechanical Engineering involves traditional engineering tasks like design and analysis, while Remote Mechanical Engineering Machine Learning combines these with AI techniques to optimize processes and develop intelligent systems. The latter requires additional knowledge of machine learning but shares many core skills and industry applications.

What are the most commonly searched types of Mechanical Engineering Machine Learning jobs in Colorado?

The most popular types of Mechanical Engineering Machine Learning jobs in Colorado are:

What are popular job titles related to Remote Mechanical Engineering Machine Learning jobs in Colorado?

For Remote Mechanical Engineering Machine Learning jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Remote Mechanical Engineering Machine Learning jobs in Colorado look for?

The top searched job categories for Remote Mechanical Engineering Machine Learning jobs in Colorado are:

What cities in Colorado are hiring for Remote Mechanical Engineering Machine Learning jobs?

Cities in Colorado with the most Remote Mechanical Engineering Machine Learning job openings:

Remote Mechanical Engineering Machine Learning jobs near you

Generative AI Automation Engineer - Remote Job

Aurora, CO • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 24 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