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Remote Machine Learning Software Engineer Jobs in West Virginia

Coalition, Inc.

Senior Software Engineer, Underwriting

WV · On-site +1

$195K/yr

About the role The Senior Software Engineer on the Underwriting team designs and builds backend ... Implement and evolve systems that integrate with statistical models, and machine learning models to ...

Harris

$116K - $153K/yr

The Senior Software Engineer, RPG is a hands-on technical leader responsible for complex IBM i/RPG ... This remote role welcomes candidates anywhere in the US. Salary: 110K - 135K What your impact will ...

Harris

$116K - $153K/yr

The Senior Software Engineer, RPG is a hands-on technical leader responsible for complex IBM i/RPG ... This remote role welcomes candidates anywhere in the US. Salary: 110K - 135K What your impact will ...

Experian

$234K/yr

Hands-on software engineering experience with modern web applications, APIs, integrations, and ... Experience applying AI, machine learning, large language models (LLMs), automation, or intelligent ...

GDIT

Software Developer/Software Engineer in Test

WV · On-site +1

$93K - $126K/yr

... Engineer in Test responsible for designing, developing, and implementing tools and frameworks to ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

Locatee AG

$124K - $167K/yr

Build learning mechanisms: architecture guilds, tech talks, post-incident reviews, and hands-on ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

Locatee Ag

$124K - $167K/yr

Build learning mechanisms: architecture guilds, tech talks, post-incident reviews, and hands-on ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

Siemens

$18 - $50/hr

... remote environment within the United States of America. * Intelligence, Software Engineering, Systems Engineering, or a related discipline. * Experience with Python, data analytics, machine learning ...

Siemens

$18 - $50/hr

... remote environment within the United States of America. * Intelligence, Software Engineering, Systems Engineering, or a related discipline. * Experience with Python, data analytics, machine learning ...

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Remote Machine Learning Software Engineer information

What is the difference between Remote Machine Learning Software Engineer vs Remote Data Scientist?

AspectRemote Machine Learning Software EngineerRemote Data Scientist
Required CredentialsBachelor's or higher in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping ML models, coding, deploying algorithmsAnalyzing data, building models, interpreting results
Industry UsageTech, finance, healthcare, e-commerceTech, finance, healthcare, research institutions

While both roles involve working with data and algorithms, Remote Machine Learning Software Engineers focus on developing and deploying machine learning models through coding, whereas Remote Data Scientists analyze data to extract insights and build statistical models. Both roles often collaborate but serve different primary functions within organizations.

What are popular job titles related to Remote Machine Learning Software Engineer jobs in West Virginia?

For Remote Machine Learning Software Engineer jobs in West Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Software Engineer jobs in West Virginia look for?

The top searched job categories for Remote Machine Learning Software Engineer jobs in West Virginia are:

Remote Machine Learning Software Engineer jobs near you
Infographic showing various Remote Machine Learning Software Engineer job openings in West Virginia as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 24% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Generative AI Automation Engineer - Remote Job

Huntington, WV • Remote

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

Full-time

Re-posted 19 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