ZipRecruiter

Log In

1

Artificial Intelligence Machine Learning Engineer Jobs in Gainesville, GA

OVA.Work

AI Architect

Alpharetta, GA · On-site

$60.50 - $78/hr

Work is looking for a talented AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions. The ideal candidate will work on building scalable AI models ...

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

Collaborate with university partners and other scientists and engineers in a multidisciplinary work ... artificial intelligence, and deep learning techniques * 7+ years of total experience with ...

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

Collaborate with university partners and other scientists and engineers in a multidisciplinary work ... artificial intelligence, and deep learning techniques * 7+ years of total experience with ...

previous pagenext page

Showing results 21-40

All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Gainesville, GA

Artificial Intelligence Machine Learning Engineer information

See Gainesville, GA salary details

$29.4K

$120.1K

$180.4K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for artificial intelligence machine learning engineer in Gainesville, GA is $120,071.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $144,500.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Gainesville, GA look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Gainesville, GA are:

What cities near Gainesville, GA are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Gainesville, GA with the most Artificial Intelligence Machine Learning Engineer job openings:

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Gainesville, GA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $120,071 per year, or $57.7 per hour.

Business Analyst (AI / Machine Learning) - New York, NY / Alpharetta, GA

NMK Global Inc.

Milton, GA • On-site

Other

Posted 21 days ago

Job description

Hi Every one,
Hope doing well!.

Job Description: Business Analyst (AI / Machine Learning)

Location: New York, NY / Alpharetta, GA (Hybrid / Onsite)

Exp:6-8+Years.

Position Summary

We are looking for a Business Analyst with AI experience to bridge the gap between our business teams and technology teams. In this role, you will analyze business operations, identify opportunities to apply Artificial Intelligence (AI) and Machine Learning (ML) solutions, and help translate business needs into technical specifications for our data science and engineering teams.

Key Responsibilities

  • Gather & Translate Requirements: Work with business stakeholders to understand their goals and translate them into functional/technical requirements for AI models and software teams.

  • Identify AI Use Cases: Analyze business processes to identify areas where AI/ML, automation, or predictive analytics can improve efficiency and user experience.

  • Process & Data Analysis: Review business workflows and data sources to assess feasibility for AI integration.

  • Collaborate with Tech Teams: Partner with Data Scientists, ML Engineers, and Software Developers to guide product design and build features.

  • User Acceptance Testing (UAT): Design test scenarios, validate AI model outputs against business needs, and ensure product quality.

  • Documentation & Communication: Create process maps, wireframes, user stories, and documentation to keep stakeholders aligned.

Required Qualifications

  • Experience: 3+ years of experience as a Business Analyst (or Systems Analyst / Data Analyst).

  • AI/ML Familiarity: Proven experience working on projects that involve AI, Machine Learning, Generative AI, or Advanced Analytics.

  • Agile Methodology: Strong experience writing User Stories, managing backlogs, and working in Agile/Scrum teams.

  • Data Skills: Proficient in SQL and basic data analysis tools (Excel, Tableau, or Power BI) to query and analyze data.

  • Communication: Excellent verbal and written communication skills to present technical concepts to non-technical business partners.

  • Education: Bachelor s degree in Business, Computer Science, Data Analytics, or a related field.

Preferred / Nice-to-Have Skills

  • Familiarity with Generative AI tools, LLMs, or prompt engineering frameworks.

  • Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).

  • Certification in Business Analysis (CBAP, PMI-PBA) or Agile (CSPO, CSM).

Apply