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Remote Field Machinist Jobs in Kansas (NOW HIRING)

C061 - NC Programmer

Wichita, KS · Remote

$23.75 - $32.50/hr

... field preferred. WORKING CONDITIONS * This is a remote position, requiring a stable internet ... machine setups. * Shift and Hours: This role may require working on a rotating shift basis ...

... field * Deep expertise in remote sensing and geospatial analysis, including working with satellite imagery and large-scale environmental datasets * Strong statistical modeling and machine learning ...

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in ... field. * A minimum of 7 years' experience working on data science, machine learning, and artificial ...

$98K - $113K/yr

Charlotte, NC, Dallas, TX, EI - Canada Home Office, Knoxville, TN, Palo Alto, CA, Remote/Home Based ... Design experiments for new technologies in both the laboratory and field * Solve systems ...

Field Collection/Mobile Applications (IOS, Android, etc.) and associated Esri field collection apps ... Experience with Machine Learning, Deep Learning, and/or AI * Experience with data processing ...

... field, and returning to that program after the co-op. * Strong foundations in modern machine ... Remote work, medical insurance, flexible time off, retirement savings plans, and modern family ...

New

... field, and returning to that program after the co-op. * Strong foundations in modern machine ... Remote work, medical insurance, flexible time off, retirement savings plans, and modern family ...

New

... field, and returning to that program after the co-op. * Strong foundations in modern machine ... Remote work, medical insurance, flexible time off, retirement savings plans, and modern family ...

New

... field, and returning to that program after the co-op. * Strong foundations in modern machine ... Remote work, medical insurance, flexible time off, retirement savings plans, and modern family ...

New

Showing results 21-40

Remote Field Machinist information

What is the difference between Remote Field Machinist vs Field Machinist?

AspectRemote Field MachinistField Machinist
CredentialsMachining certifications, technical skillsMachining certifications, technical skills
Work EnvironmentRemote locations, on-site at client sitesOn-site at industrial or construction sites
Industry UsageOil & gas, energy, manufacturingOil & gas, energy, manufacturing
Work ScopeMachining, equipment repair, maintenanceMachining, equipment setup, repair

The main difference between a Remote Field Machinist and a Field Machinist is the work setting. Remote Field Machinists often work at distant or hard-to-reach locations, providing specialized machining services on-site, while Field Machinists typically work directly at industrial sites. Both roles require similar skills and certifications, but their work environments and scope can differ based on location and project needs.

What are popular job titles related to Remote Field Machinist jobs in Kansas?

For Remote Field Machinist jobs in Kansas, the most frequently searched job titles are:

Infographic showing various Remote Field Machinist job openings in Kansas as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Wichita, KS • Remote

Full-time

Re-posted 14 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.