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Machine Learning Jobs in Harrisonburg, VA (NOW HIRING)

Machinist Trainer

Staunton, VA · On-site

$53K - $88K/yr

Daikin Applied is seeking a Machinist Trainer to provide designated skills training and support to ... Administer written and practical exams to measure employees theoretical learning, evaluate learning ...

Machinist Trainer

Staunton, VA · On-site

$53K - $88K/yr

Daikin Applied is seeking a Machinist Trainer to provide designated skills training and support to ... Administer written and practical exams to measure employees theoretical learning, evaluate learning ...

LOGISTICS DRIVER

Harrisonburg, VA · On-site

$22.68 - $33.53/hr

At Carter Machinery, we don't just offer jobs - we offer long-term careers defined by purpose ... Shift differential (if applicable) You'll gain access to real learning, real advancement, and a ...

At Carter Machinery, we don't just offer jobs - we offer long-term careers defined by purpose ... Shift differential (if applicable) You'll gain access to real learning, real advancement, and a ...

At Carter Machinery, we don't just offer jobs - we offer long-term careers defined by purpose ... Shift differential (if applicable) You'll gain access to real learning, real advancement, and a ...

LOGISTICS DRIVER

Charlottesville, VA · On-site

$24.89 - $35.95/hr

At Carter Machinery, we don't just offer jobs - we offer long-term careers defined by purpose ... Shift differential (if applicable) You'll gain access to real learning, real advancement, and a ...

FIELD SERVICE TECHNICIAN

Fishersville, VA · On-site

$26.88 - $39.07/hr

At Carter Machinery, we don't just offer jobs - we offer long-term careers defined by purpose ... Shift differential (if applicable) You'll gain access to real learning, real advancement, and a ...

... machine is working properly. Coordination -- Adjusting actions in relation to others' actions. Operation and Control -- Controlling operations of equipment or systems. Active Learning ...

Showing results 21-40

Machine Learning information

See Harrisonburg, VA salary details

$23.8K

$39.7K

$82K

How much do machine learning jobs pay per year?

As of Aug 6, 2026, the average yearly pay for machine learning in Harrisonburg, VA is $39,689.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are popular job titles related to Machine Learning jobs in Harrisonburg, VA? For Machine Learning jobs in Harrisonburg, VA, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Harrisonburg, VA look for? The top searched job categories for Machine Learning jobs in Harrisonburg, VA are:
What cities near Harrisonburg, VA are hiring for Machine Learning jobs? Cities near Harrisonburg, VA with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Harrisonburg, VA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $39,689 per year, or $19.1 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Harrisonburg, VA • On-site

Other

Re-posted 16 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.