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Computer Integrated Machining Jobs in Georgia (NOW HIRING)

Inovalon, Inc.

Senior Machine Learning Engineer

Atlanta, GA · On-site

$118K - $155K/yr

Develop and integrate Python-based ML components that work seamlessly with existing product ... Master's degree or PhD in Computer Science, Machine Learning, or equivalent practical experience ...

Inovalon

Senior Machine Learning Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

Develop and integrate Python-based ML components that work seamlessly with existing product ... Master's degree or PhD in Computer Science, Machine Learning, or equivalent practical experience ...

EV.Careers

Product Manager

Decatur, GA

Track emerging machine technologies, protocols, and integration trends relevant to the industry. \n ... Exposure to model\-to\-machine, BIM\-to\-fabrication, or CAD\/CAM\-driven production workflows. \n

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All JobsComputer Integrated Machining JobsComputer Integrated Machining Jobs in Georgia

Computer Integrated Machining information

See Georgia salary details

$27.9K

$54.9K

$80.6K

How much do computer integrated machining jobs pay per year?

As of Jul 9, 2026, the average yearly pay for computer integrated machining in Georgia is $54,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,600.00 and $67,600.00 per year, depending on experience, location, and employer.

How much is a CNC machinist paid?

A CNC machinist's average salary varies by location and experience but typically ranges from $45,000 to $70,000 annually. Skilled machinists with certifications and experience in programming and setup can earn higher wages, especially in manufacturing environments with advanced CNC equipment.

What are some common challenges faced by professionals in Computer Integrated Machining, and how can they be addressed?

Professionals in Computer Integrated Machining often face challenges such as adapting to rapidly evolving technology, maintaining precision under tight deadlines, and troubleshooting complex CNC equipment. Staying current with software updates and industry certifications, as well as collaborating closely with engineers and quality control teams, can help overcome these obstacles. Additionally, strong organizational skills and attention to detail are crucial for ensuring the accuracy and efficiency of machined parts, while continuous learning helps professionals stay competitive in the field.

What is computer integrated machining?

Computer integrated machining (CIM) is a manufacturing process that combines computer-aided design (CAD), computer-aided manufacturing (CAM), and automated machine tools to produce parts efficiently and accurately. It involves the use of software and robotics to control machining operations, reducing manual intervention and increasing precision. Professionals in this field often work with CNC machines and require knowledge of programming and automation systems.

Is a CNC job a good career?

A CNC (Computer Numerical Control) machining job is a stable career option with demand in manufacturing and aerospace industries. It requires technical skills, knowledge of CNC programming, and often certification or training, offering opportunities for advancement and good wages.

What is the difference between Computer Integrated Machining vs CNC Machinist?

AspectComputer Integrated MachiningCNC Machinist
CredentialsTechnical training, certifications in CAD/CAM softwareHigh school diploma, technical training, CNC certification
Work EnvironmentManufacturing floors with automated machinery, computer stationsWorkshop or manufacturing floor operating CNC machines
Industry UsageUsed in automated, high-volume manufacturing settingsCommon in custom, small-batch, or precision machining
Job FocusDesign, programming, and overseeing automated machining processesOperating and setting up CNC machines to produce parts

Computer Integrated Machining involves managing automated manufacturing systems with a focus on programming and overseeing production processes, often requiring knowledge of CAD/CAM software. CNC Machinists operate and set up CNC machines directly, focusing on manual operation and adjustments. Both roles are essential in manufacturing but differ in scope, automation level, and technical requirements.

What are the key skills and qualifications needed to thrive as a Computer Integrated Machining professional, and why are they important?

To excel in Computer Integrated Machining, you need a solid understanding of machining principles, blueprint reading, and mathematics, often backed by a diploma or certificate in machining or manufacturing technology. Proficiency with CNC machines, CAD/CAM software, and measuring instruments like calipers and micrometers is essential. Attention to detail, problem-solving, and effective communication are key soft skills that set top professionals apart. These competencies ensure precise manufacturing, efficient workflow, and the ability to adapt to evolving production demands.

Is AI taking over machinist jobs?

Computer Integrated Machining involves using automation and computer-controlled tools, but AI has not fully replaced machinist jobs. Instead, AI and automation are augmenting roles by increasing efficiency and precision, requiring machinists to develop skills in programming and operating advanced machinery.
Computer Integrated Machining jobs near you
Infographic showing various Computer Integrated Machining job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $54,863 per year, or $26.4 per hour.
Java Spring Boot AI Integration Developer - Q125

Java Spring Boot AI Integration Developer - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$49.75 - $64.50/hr

Full-time

Medical, Retirement, PTO

Re-posted 4 days ago

Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Java Spring Boot AI Integration Developer
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a skilled Java Spring Boot AI Integration Developer to design and develop Java-based microservices with integrated AI/ML capabilities. This role focuses on leveraging Spring Boot and APIs to build intelligent applications for diverse business needs.
Key Responsibilities
  • Develop and deploy Java-based applications with integrated AI/ML models using Spring Boot.
  • Integrate AI/ML models into microservices via REST APIs, WebSockets, and event-driven architectures like Kafka.
  • Optimize scalability and performance of AI-driven applications in containerized environments (Docker, Kubernetes).
  • Collaborate with data science teams to enhance AI model performance, deployment, and lifecycle management.
  • Ensure adherence to best practices in software design, security, and scalability across API integrations.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience with Java and Spring Boot development for microservices.
  • Hands-on experience consuming AI/ML models via APIs (e.g., TensorFlow, PyTorch, OpenAI).
  • Familiarity with containerization tools such as Docker and Kubernetes.
  • Experience with RESTful APIs and event-driven systems in production environments.

Preferred Qualifications
  • Experience with Large Language Models (LLMs) or NLP frameworks like HuggingFace.
  • Knowledge of machine learning workflows and AI model lifecycle management (training, deployment, monitoring).
  • Exposure to cloud platforms (AWS, Azure, GCP) for AI deployment and microservices hosting.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
REST APIs, WebSockets, and event-driven services,Java-based AI-enabled applications,Java and Spring Boot

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