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Machine Learning Assistant Jobs in Villa Rica, GA

Jobtailor

Associate Software Engineer

Atlanta, GA · On-site

$90 - $130/hr

... technical skills. * Assist with troubleshooting, debugging, and resolving software defects ... Explore opportunities to incorporate AI and machine learning capabilities into software solutions ...

New

Asure Software

Associate Software Engineer

Atlanta, GA · On-site

... technical skills. * Assist with troubleshooting, debugging, and resolving software defects ... Explore opportunities to incorporate AI and machine learning capabilities into software solutions ...

Honeywell

Sr Advanced Data Scientist

Atlanta, GA · On-site +1

After influencing scope and prioritizing the analytics pipeline, you will assist in leading the ... Minimum of 4 years of full time Machine Learning experience applied on top of processes, systems ...

Honeywell

Sr Advanced Data Scientist

Atlanta, GA · On-site +1

After influencing scope and prioritizing the analytics pipeline, you will assist in leading the ... Minimum of 4 years of full time Machine Learning experience applied on top of processes, systems ...

Oraapps Inc

Agentic AI Engineer

Atlanta, GA · On-site

Collaborate with data scientists to productionize machine learning and AI solutions. * Implement ... Experience building agentic AI applications, AI assistants, or workflow automation solutions.

Pratt Industries

Machine Operator, 8 Hours: 6a-2p

Newnan, GA · On-site

$15.25 - $18.25/hr

SUMMARY Responsible for all activities associated with safely operating production machines ... Learning environment to learn as many job duties to assist with plant growth and personal and ...

Pratt Industries

Machine Operator, 8 Hours: 6a-2p

Newnan, GA · On-site

$15.25 - $18.25/hr

SUMMARY Responsible for all activities associated with safely operating production machines ... Learning environment to learn as many job duties to assist with plant growth and personal and ...

Akur8

Pricing Actuary

Atlanta, GA · Remote

$170K - $220K/yr

Our SaaS platform uses transparent machine learning and predictive analytics to improve the speed ... During check-in meetings with clients, you will assist clients by quickly diagnosing any ...

Eisneramper Llp

AI Consulting Manager

Atlanta, GA · On-site

... machine learning, and emerging technologies to solve complex business challenges. This role is ... * Assist in developing AI strategies, roadmaps, and solution recommendations aligned with client ...

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All JobsMachine Learning JobsMachine Learning Assistant JobsMachine Learning Assistant Jobs in Villa Rica, GA

Machine Learning Assistant information

See Villa Rica, GA salary details

$11

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How much do machine learning assistant jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for machine learning assistant in Villa Rica, GA is $15.76, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $16.78 per hour, depending on experience, location, and employer.

What is a machine learning assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

What are the key skills and qualifications needed to thrive as a machine learning assistant?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.

What are some common challenges a machine learning assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What cities near Villa Rica, GA are hiring for Machine Learning Assistant jobs?

Cities near Villa Rica, GA with the most Machine Learning Assistant job openings:

Machine Learning Assistant jobs near you
Infographic showing various Machine Learning Assistant job openings in Villa Rica, GA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $32,776 per year, or $15.8 per hour.

Associate Software Engineer

Jobtailor

Atlanta, GA • On-site

$90 - $130/hr

Other

Posted yesterday

New

Job description

Responsibilities
  • Collaborate with engineers, product managers, and other stakeholders to develop software solutions that meet business and customer needs.
  • Design, develop, test, and maintain software applications, services, and APIs.
  • Contribute to front-end, back-end, or full-stack development initiatives-based project assignments.
  • Participate in code reviews and incorporate feedback to improve code quality and technical skills.
  • Assist with troubleshooting, debugging, and resolving software defects.
  • Develop and maintain integrations with internal and external systems.
  • Work with relational and NoSQL databases to store, retrieve, and manage application data.
  • Support the development and deployment of applications in cloud environments.
  • Write clean, maintainable, and well-documented code following engineering best practices.
  • Participate in Agile development activities, including sprint planning, stand-ups, and retrospectives.
  • Leverage AI-powered development tools and automation technologies to improve productivity, code quality, testing, documentation, and problem-solving.
  • Explore opportunities to incorporate AI and machine learning capabilities into software solutions under the guidance of senior engineers and architects.
  • Continuously develop technical knowledge and skills across all aspects of software engineering — including languages, frameworks, databases, cloud technologies, testing, and engineering best practices — with a curiosity and growth mindset that extends to emerging tools and technologies such as AI and intelligent automation.
Requirements
  • Bachelor's or Master’s degree in computer science, Software Engineering, Computer Engineering, Information Technology, or a related technical field.
  • Understanding of software development fundamentals, including object-oriented programming, data structures, algorithms, and software design principles.
  • Experience with at least one modern programming language such as C#, Java, JavaScript, TypeScript, Python, or similar through coursework, projects, internships, or personal development.
  • Familiarity with web technologies, APIs, and modern software development practices.
  • Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
  • Basic understanding of relational and/or NoSQL database concepts.
  • Experience using Git or other version control systems.
  • Interest in artificial intelligence (AI), machine learning (ML), and emerging technologies, with a willingness to leverage AI-enabled tools in daily workflows.
  • Strong problem-solving, analytical, and communication skills.
  • Ability to learn quickly and collaborate effectively in a team-oriented environment.
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