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Machine Learning Engineer Associate Jobs in West Virginia

SailPoint

Forward Deployed Engineer

Charleston, WV · Remote

By harnessing the power of AI and machine learning, SailPoint automates and streamlines the ... Forward Deployed Engineers(FDEs)at SailPoint embark on their journey by undergoing comprehensive ...

LTS

Senior Applied AI Engineer

Charleston, WV · Remote

$113K - $149K/yr

Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Engineering, Data Science, or a related technical discipline (or equivalent professional ...

SynergisticIT

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who Should Apply:

SynergisticIT

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who Should Apply:

SailPoint

Senior Staff DevOps Engineer

Charleston, WV · Remote

$120K - $154K/yr

Built on a foundation of AI and machine learning, our Identity Security Cloud (Atlas) platform ... Engineer on the Infrastructure Platform team, you will be a technical leader responsible for ...

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 ...

Mitre

Biometrics Engineer

Bridgeport, WV

In this role, you will apply your software engineering expertise to biometric application ... machine learning and statistical analysis. Experience in C/C++, C#, Java/J2EE development.

SynergisticIT

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

SynergisticIT

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

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All JobsMachine Learning Engineer Associate JobsMachine Learning Engineer Associate Jobs in West Virginia

Machine Learning Engineer Associate information

See West Virginia salary details

$32.1K

$64K

$102.2K

How much do machine learning engineer associate jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning engineer associate in West Virginia is $63,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,700.00 and $73,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by machine learning engineer associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What is a machine learning engineer associate?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are the key skills and qualifications needed to thrive as a machine learning engineer associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are the most commonly searched types of Machine Learning Engineer jobs in West Virginia? The most popular types of Machine Learning Engineer jobs in West Virginia are:
What are popular job titles related to Machine Learning Engineer Associate jobs in West Virginia? For Machine Learning Engineer Associate jobs in West Virginia, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Associate jobs in West Virginia look for? The top searched job categories for Machine Learning Engineer Associate jobs in West Virginia are:
What cities in West Virginia are hiring for Machine Learning Engineer Associate jobs? Cities in West Virginia with the most Machine Learning Engineer Associate job openings:
Machine Learning Engineer Associate jobs near you
Infographic showing various Machine Learning Engineer Associate job openings in West Virginia as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $63,974 per year, or $30.8 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Charleston, WV • On-site

Other

Re-posted 21 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