ZipRecruiter

Log In

1

Python Ai Developer Jobs in Cartersville, GA (NOW HIRING)

Floor & Décor

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Python is a plus, not a requirement. * Service-based and microservice architectures , RESTful API ... Building internal developer platforms, frameworks, or SDKs consumed by other engineering teams.

Floor & Decor Holdings, Inc.

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Python is a plus, not a requirement. * Service-based and microservice architectures , RESTful API ... Building internal developer platforms, frameworks, or SDKs consumed by other engineering teams.

Daimler

AI/ML Platform Engineer

Atlanta, GA · On-site

... developer productivity. * Partner with architecture, infrastructure, security, and engineering ... Strong proficiency in Python, SQL, PySpark, and distributed data processing frameworks.

GEI Consultants

AI Engineer

Atlanta, GA · On-site

Proficiency in at least one programming language such as Python, PySpark, R, or SQL. * Experience delivering Generative AI (LLM) solutions, preferably on Azure. * Familiarity with Azure AI library ...

Elevance Health

Distinguished AI Engineer

Atlanta, GA · On-site +1

... Python, Java, or similar technology is preferred. Deep experience with APIs, microservices, and event-driven architectures, cloud platforms, and CI/CD and DevOps practices is preferred. Advanced ...

National Carwash Solutions, Inc.

DevOps Engineer

Atlanta, GA · On-site

$50.75 - $69.50/hr

... Bash, or Python. * AI & Agentic Tooling: Extend the agent-based tooling running inside our ... Mobile DevOps: Experience with mobile CI/CD tooling (EAS, Fastlane) and React Native (Expo) app ...

National Carwash Solutions

DevOps Engineer

Atlanta, GA · On-site

$50.75 - $69.50/hr

We believe DevOps is more than just a role--it's a mindset of constant improvement, collective ... Bash, or Python. * AI & Agentic Tooling: Extend the agent-based tooling running inside our ...

Daimler

AI Productization Engineer

Atlanta, GA

Job Overview The AI Productization Engineer turns successful AI and machine learning solutions into ... Python and SQL. * Azure Databricks and enterprise AI platforms. * Azure or AWS cloud platforms.

Invesco

Principal Automation & AI Engineer

Atlanta, GA · Hybrid

... in Python, C#, .NET, PowerShell, or similar languages, with experience building REST APIs, microservices, and data pipelines. * DevOps & CI/CD: Experience building and managing CI/CD pipelines ...

previous page

Showing results 41-60

All JobsPython Ai Developer JobsPython Ai Developer Jobs in Cartersville, GA

Python Ai Developer information

See Cartersville, GA salary details

$11

$52

$76

How much do python ai developer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for python ai developer in Cartersville, GA is $52.16, according to ZipRecruiter salary data. Most workers in this role earn between $42.98 and $59.23 per hour, depending on experience, location, and employer.

What does a Python AI Developer do?

A Python AI Developer designs, builds, and implements artificial intelligence applications using the Python programming language. Their work often involves developing machine learning models, processing large datasets, and integrating AI solutions into software products. They collaborate with data scientists, engineers, and stakeholders to solve complex problems and optimize AI algorithms for real-world use. Python AI Developers stay updated on the latest AI techniques and ensure their solutions are efficient, scalable, and maintainable.

What are the key skills and qualifications needed to thrive as a Python AI Developer?

To thrive as a Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and a background in mathematics or computer science. Familiarity with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and experience with data processing tools are typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills for this role. These competencies enable developers to design, implement, and optimize AI solutions that address complex real-world challenges efficiently.

How does a Python AI Developer typically collaborate with data scientists and other team members during an AI project?

Python AI Developers often work closely with data scientists, machine learning engineers, and product managers throughout the lifecycle of an AI project. They are responsible for implementing algorithms and models designed by data scientists, optimizing code for efficiency, and integrating AI solutions into production environments. Regular communication and code reviews ensure alignment on objectives and technical standards, while agile practices like daily stand-ups facilitate cross-functional collaboration. Being open to feedback and adaptable to changing project requirements is key to success in this role.

How to become a Python AI developer?

To become a Python AI developer, you should gain proficiency in Python programming, understand machine learning and deep learning concepts, and work with frameworks like TensorFlow or PyTorch. Building a strong foundation in mathematics, such as linear algebra and statistics, and gaining experience through projects or certifications can enhance your skills. Familiarity with data handling, algorithms, and software development practices is also essential.

What is the salary of a Python AI developer?

The salary of a Python AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Skilled developers with expertise in machine learning frameworks and data analysis tools tend to earn higher salaries.

What cities near Cartersville, GA are hiring for Python Ai Developer jobs?

Cities near Cartersville, GA with the most Python Ai Developer job openings:

Python Ai Developer jobs near you
Infographic showing various Python Ai Developer job openings in Cartersville, GA as of June 2026, with employment types broken down into 49% Full Time, 46% Part Time, 4% Contract, and 1% Nights. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $108,492 per year, or $52.2 per hour.

AI/ML Platform Engineer

Atlanta, GA • On-site

Mercedes-Benz Group
See more jobs at Mercedes-Benz Groupexternal

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Aufgaben About Us
Mercedes-Benz USA is responsible for the sales, marketing and service of all Mercedes-Benz and Maybach products in the United States. In our people, you will find tremendous commitment to our corporate values: 'PRIDE = Passion, Respect, Integrity, Discipline, and Execution'. Our products and employees reflect this dedication. We are looking for diverse top-notch individuals to join the Mercedes-Benz Team and uphold these hallmarks
Job Overview
The AI/ML Platform Engineer is responsible for the foundational platform capabilities that power AI and machine learning delivery across Mercedes-Benz USA. This role designs, builds, and operates shared AI/ML infrastructure, deployment pipelines, model lifecycle tooling, and reusable engineering services that enable data scientists, AI engineers, and business teams to develop and scale AI solutions efficiently
As the platform foundation of the Applied AI Engineering & Operations team, this role supports classical machine learning, generative AI, agent-based solutions, and enterprise-scale analytics workloads. The ideal candidate combines strong platform engineering expertise, cloud experience, MLOps knowledge, and production operations experience with a passion for building reliable and scalable engineering foundations
Responsibilities
AI/ML Platform Engineering & Delivery (60%)
  • Design, build, and operate enterprise AI/ML platform capabilities and shared engineering services.
  • Develop and maintain model deployment pipelines, model registry capabilities, experiment tracking, and foundational MLOps tooling.
  • Create reusable platform components, templates, automation frameworks, and deployment standards that accelerate AI delivery.
  • Provide the platform foundations supporting machine learning, generative AI, agent-based solutions, and AI productization initiatives.
  • Design and manage multi-tenancy patterns, resource isolation strategies, and workload governance across teams and business domains.
  • Ensure platform reliability, scalability, security, observability, and cost optimization across AI workloads.
  • Drive operational excellence through monitoring, incident response, resiliency improvements, and continuous platform enhancements
Platform Architecture & Engineering Standards (20%)
  • Define and evolve platform architecture, deployment patterns, and engineering standards for AI/ML delivery.
  • Evaluate emerging platform technologies and engineering approaches that improve scalability, performance, and developer productivity.
  • Partner with architecture, infrastructure, security, and engineering teams to ensure alignment with enterprise standards.
  • Provide technical leadership for platform investments, architecture decisions, and modernization initiatives
Operational Excellence & Reliability (10%)
  • Establish best practices for monitoring, logging, performance management, platform support, and operational readiness.
  • Develop engineering standards, documentation, automation, and operational runbooks.
  • Promote continuous improvement of platform reliability, supportability, and operational maturity
Collaboration & Technical Leadership (10%)
  • Collaborate with data scientists, AI engineers, architects, infrastructure teams, and business stakeholders.
  • Provide technical mentorship and guidance across the AI Engineering organization.
  • Support knowledge sharing, cross-training, and engineering excellence initiatives

Qualifikationen Technical Skills & Tools
Required
  • Strong proficiency in Python, SQL, PySpark, and distributed data processing frameworks.
  • Experience with Azure Databricks, including Unity Catalog, Delta Lake, MLflow, Feature Store, and Model Serving.
  • Experience with Azure, AWS, or comparable cloud platforms supporting enterprise AI and machine learning workloads.
  • Experience with model deployment pipelines, model registry management, experiment tracking, monitoring, and lifecycle management.
  • Experience with CI/CD, workflow orchestration, and production AI platform operations.
  • Experience with model serving, inference optimization, and scalable AI infrastructure.
  • Experience with Docker, Kubernetes, Infrastructure as Code, and cloud-native deployment architectures.
  • Experience supporting GPU-enabled workloads, distributed compute environments, and enterprise-scale platform operations.
  • Experience with event-driven architectures, streaming technologies, and platform integration patterns.
  • Experience with observability platforms, performance optimization, reliability engineering, and cloud cost management.
  • Strong software engineering, automation, and production support practices
Preferred Skillset
  • Experience with Azure OpenAI, AWS Bedrock, or equivalent enterprise AI platforms.
  • Experience with vector databases and retrieval technologies.
  • Experience supporting generative AI and agent-based solutions at scale.
  • Familiarity with Responsible AI, AI governance, security, and risk management frameworks
Qualifications
Required
  • Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field.
  • 8+ years of experience in software engineering, machine learning engineering, AI platform engineering, or related disciplines.
  • Demonstrated experience designing, building, and operating enterprise AI/ML platforms.
  • Strong understanding of cloud-native architectures, MLOps, deployment automation, monitoring, and production operations.
  • Experience building reusable engineering frameworks, platform services, or shared infrastructure capabilities.
  • Strong communication, collaboration, and stakeholder management skills
Preferred Experience
  • Master's degree in Computer Science, Engineering, AI/ML, or related field.
  • Experience delivering enterprise-scale AI/ML platforms supporting multiple business domains.
  • Experience operating in regulated or compliance-sensitive environments.
  • Experience scaling platform engineering capabilities supporting machine learning, generative AI, and agent-based systems
Additional Information
  • Position requires regular collaboration with business, technology, and external partner teams across multiple time zones.
  • Some travel required for team, partner, and business engagements.
  • This role is part of MBUSA's Data Insights & AI organization and contributes to the company's long-term AI strategy and operating model.

EEO Statement
Mercedes-Benz USA is committed to fostering an inclusive environment that appreciates and leverages the diversity of our team. We provide equal employment opportunity (EEO) to all qualified applicants and employees without regard to race, color, ethnicity, gender, age, national origin, religion, marital status, veteran status, physical or other disability, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local law

Apply