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Machine Learning Robotics Jobs in Georgia (NOW HIRING)

Pwc

CTIO-AI Engineer-Sr Associate

Atlanta, GA

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Robotics - 3 years of professional experience developing AI/ML systems or integrating AI into ...

Pwc

NGA AI Engineer Senior Manager

Atlanta, GA

$91K - $321.50K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... and Robotics preferred - Crafting and conveying clear, impactful messages - Applying systems ...

Pwc

NGA AI Engineer Manager

Atlanta, GA

$73.50K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Intelligence and Robotics preferred - Demonstrating exceptional team leadership abilities ...

Symbotic

Senior IT Specialist

Jackson, GA · On-site

I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

Symbotic

Senior IT Specialist

Jackson, GA

I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

Symbotic

Senior IT Specialist

Jackson, GA

I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

THE WESTMINSTER SCHOOLS

Blake Center Machinist

Atlanta, GA · On-site

$19.75 - $27/hr

POSITION OVERVIEW Join a growth-oriented, collaborative learning community committed to developing ... Partner with students, faculty, and student groups (such as our Robotics team) to design and ...

THE WESTMINSTER SCHOOLS

Blake Center Machinist

Atlanta, GA

$19.75 - $27/hr

POSITION OVERVIEW Join a growth-oriented, collaborative learning community committed to developing ... Partner with students, faculty, and student groups (such as our Robotics team) to design and ...

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How much do machine learning robotics jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning robotics in Georgia is $35,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $27,400.00 and $38,800.00 per year, depending on experience, location, and employer.

What is a Machine Learning Robotics job?

A Machine Learning Robotics job involves developing algorithms that enable robots to learn from data and improve their performance over time. Professionals in this field work on applications such as autonomous navigation, robotic perception, and human-robot interaction. They use techniques like deep learning, reinforcement learning, and computer vision to enhance a robot's ability to understand and interact with its environment. This role typically requires expertise in machine learning, robotics, and software development, along with strong problem-solving skills.

What are the key skills and qualifications needed to thrive in the Machine Learning Robotics position, and why are they important?

To excel in Machine Learning Robotics, a strong background in computer science, robotics, and machine learning algorithms, often supported by a relevant degree (such as in engineering or computer science), is essential. Familiarity with programming languages like Python or C++, frameworks such as TensorFlow or ROS (Robot Operating System), and experience with simulation tools are highly valuable, and certifications in AI or robotics can further enhance employability. Strong problem-solving skills, effective communication, and the ability to work collaboratively in cross-disciplinary teams help professionals stand out. These capabilities are crucial for designing, developing, and refining intelligent robotic systems that perform reliably in real-world environments.

What are some common challenges faced by professionals working in Machine Learning Robotics?

Professionals in Machine Learning Robotics often encounter challenges like integrating machine learning models with robotic hardware, ensuring reliable performance in unpredictable real-world settings, and managing computational limitations on embedded systems. Addressing these challenges usually requires creative problem-solving and close collaboration with hardware engineers, software developers, and data scientists. You may also need to continuously refine models and testing processes based on real-time feedback and evolving project goals. This dynamic environment makes the work both demanding and highly rewarding for those eager to push the boundaries of automation and intelligent systems.
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Machine Learning Robotics jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Kennesaw, GA • Remote

Other

Posted 7 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