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Remote Injection Molding Process Engineer Jobs in Atlanta, GA

Prelim

Software Engineer, Product

Atlanta, GA · Remote

$140K - $160K/yr

... and fully remote US team. You'll have the opportunity to architect and build the platform that ... Own the performance, scalability, and reliability of systems processing millions of applications ...

Quora

AI Automation Engineer -Remote

Atlanta, GA · On-site +1

$202.38K - $234.20K/yr

Use AI as much as possible to automate your own process of creating this software * Collaborate ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

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Remote Injection Molding Process Engineer information

See Atlanta, GA salary details

$47.6K

$88.5K

$137K

How much do remote injection molding process engineer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for remote injection molding process engineer in Atlanta, GA is $88,489.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,600.00 and $99,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Injection Molding Process Engineer vs Remote Manufacturing Engineer?

AspectRemote Injection Molding Process Engineer
Primary FocusDesign, optimize, and troubleshoot injection molding processes for plastic parts remotely
CertificationsPlastic injection molding certifications, process engineering credentials
Work EnvironmentManufacturing facilities, labs, or remote collaboration with on-site teams
Industry UsagePlastic manufacturing, automotive, consumer goods

Remote Injection Molding Process Engineers specialize in managing injection molding processes remotely, focusing on process optimization and troubleshooting. In contrast, Remote Manufacturing Engineers have a broader scope, overseeing various manufacturing processes. Both roles require similar certifications and often work in related industries, but their core responsibilities differ in process specialization versus overall manufacturing management.

What are the most commonly searched types of Injection Molding Process Engineer jobs in Atlanta, GA? The most popular types of Injection Molding Process Engineer jobs in Atlanta, GA are:
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What job categories do people searching Remote Injection Molding Process Engineer jobs in Atlanta, GA look for? The top searched job categories for Remote Injection Molding Process Engineer jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Remote Injection Molding Process Engineer jobs? Cities near Atlanta, GA with the most Remote Injection Molding Process Engineer job openings:
Remote Injection Molding Process Engineer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Atlanta, GA • Remote

Other

Posted 9 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