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Python Ai Ml Jobs in Georgia (NOW HIRING)

Daimler

AI/ML Platform Engineer

Atlanta, GA · On-site

Job Overview The AI/ML Platform Engineer is responsible for the foundational platform capabilities ... Strong proficiency in Python, SQL, PySpark, and distributed data processing frameworks.

Sumeru

Senior AI/ML Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Senior AI/ML Engineer Location: Bellevue/Seattle, WA ; Atlanta, GA, and Frisco, TX Need Local ... Python (required) * Libraries: scikit-learn, HuggingFace Transformers, RapidFuzz, jellyfish

Ubertal Inc

Senior Technical Lead

Atlanta, GA · On-site

Java 17+, Python * AI/ML: Machine Learning, NLP, Deep Learning Required Qualifications * 10+ years of experience in software development, architecture, cloud infrastructure, and modern technologies.

Omnissa

Software Engineer, AI/ML

Atlanta, GA · On-site +1

$102K - $160K/yr

Design, build, and scale backend services in Python, Node.js, and TypeScript that support globalization, internationalization, and localization workflows. * Develop and integrate AI/ML and LLM-based ...

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 ... ML technologies and research Qualifications : Required : • Strong programming skills in Python ...

OVA.Work

ALM engineer

Alpharetta, GA · On-site

... AI/ML technologies and research Qualifications : Required : • Strong programming skills in Python • Experience with machine learning frameworks: TensorFlow, PyTorch, Keras, Scikit-learn • ...

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Python Ai Ml information

What is a Python AI ML engineer?

Python AI/ML engineers are professionals who use Python programming language to design, develop, and implement artificial intelligence (AI) and machine learning (ML) algorithms and models. Their work involves analyzing data, building predictive models, and deploying machine learning solutions to solve real-world problems. They are skilled in libraries such as TensorFlow, PyTorch, and Scikit-learn, and often collaborate with data scientists and software engineers. These engineers play a key role in transforming data into actionable insights and AI-powered applications.

What are the key skills and qualifications needed to thrive as a Python AI ML engineer, and why are they important?

To thrive as a Python AI/ML Engineer, you need strong proficiency in Python programming, a solid background in mathematics and statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), version control systems, and cloud platforms is typically required, along with relevant certifications being advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help translate business needs into technical solutions. These skills ensure the development of accurate, scalable, and efficient AI/ML models that deliver value to organizations.

How does a Python AI ML engineer typically collaborate with data engineers and domain experts during a project?

Python AI/ML professionals frequently work closely with data engineers to ensure data pipelines are robust, clean, and optimized for modeling. They also collaborate with domain experts to understand business needs, refine problem statements, and interpret results in the context of real-world applications. Effective communication and regular meetings are essential, as these collaborations help bridge technical and business perspectives, ensuring that machine learning solutions are both technically sound and aligned with organizational goals.
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What cities in Georgia are hiring for Python Ai Ml jobs? Cities in Georgia with the most Python Ai Ml job openings:
Python Ai Ml jobs near you
Infographic showing various Python Ai Ml job openings in Georgia as of August 2026, with employment types broken down into 75% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

AI & ML engineer

R2 Technologies Corporation

Atlanta, GA • On-site

Full-time

Re-posted 21 days ago

Job description

Overview:
Role: AI & ML engineer
Location: Atlanta, GA
#Role is on-site
#10+ years profile usc/Gc only
Depends on experience
Objectives of this role
  • Design and develop machine learning algorithms and deep learning applications and systems for [Company X]
  • Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks
  • Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications
  • Identify differences in data distribution that could potentially affect model performance in real-world applications
  • Ensure algorithms generate accurate user recommendations
  • Stay up to date with developments in the machine learning industry
Responsibilities
  • Study and transform data science prototypes and apply appropriate machine learning algorithms and tools
  • Run machine learning tests and experiments, and document findings and results
  • Train, retrain, and monitor machine learning systems and models as needed
  • Construct optimized data pipelines to feed machine learning models
  • Consult with managers to determine and refine machine learning objectives
  • Extend existing machine learning libraries and frameworks
Skills and qualifications
  • Impeccable analytical and problem-solving skills
  • Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms
  • In-depth knowledge of machine learning frameworks, like Keras or PyTorch
  • Familiarity with data structures, data modeling, and software architecture
  • Excellent time management and organizational skills
  • Desire to learn
Preferred qualifications
  • Proven experience as a machine learning engineer or similar role
  • Familiarity with Python, Java, and R
  • Excellent communication and collaboration skills
  • Innovative mind with a passion for continuous learning
  • General knowledge of building machine learning systems
  • Bachelor's degree (or equivalent) in computer science, mathematics, or related field

Skills:
AI / ML,Machine Learning

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