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Python Ai Ml Jobs in Georgia (NOW HIRING)

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.

Drive the design and development of production-grade AI/ML applications in Python and TypeScript. * Architect AI/ML solutions involving Large Language Models (LLMs), Retrieval-Augmented Generation ...

Senior ML/AI Engineer

Lawrenceville, GA

$95K - $131K/yr

M3 is embedding AI into its core product workflows to deliver intelligent automation and insights ... Strong programming skills in Python and experience with ML libraries (e.g., scikit-learn, PySpark ...

Senior ML/AI Engineer

Lawrenceville, GA

$95K - $131K/yr

M3 is embedding AI into its core product workflows to deliver intelligent automation and insights ... Strong programming skills in Python and experience with ML libraries (e.g., scikit-learn, PySpark ...

AI/ML Engineer

Atlanta, GA

$110K - $132K/yr

AI/ML Engineer Location: Atlanta, GA Duration: Fulltime Must Have Technical/Functional Skills * 5+ ... Python, R, Scala, Spark * Experience with one or more of the following: Natural Language Processing ...

As an HR AI/ML Engineer supporting the North America region at Airbus, you will be at the forefront ... Strong programming skills in Python, with experience in libraries like TensorFlow, PyTorch, and ...

Senior ML/AI Engineer

Lawrenceville, GA · On-site

$95K - $131K/yr

M3 is embedding AI into its core product workflows to deliver intelligent automation and insights ... Strong programming skills in Python and experience with ML libraries (e.g., scikit-learn, PySpark ...

AI&ML Engineer

Atlanta, GA · Hybrid

$110K - $132K/yr

AI/ML Engineer || Atlanta, GA - Hybrid || Fulltime || 8 - 10 years of experience Must Have ... Python, R, Scala, Spark Experience with one or more of the following: Natural Language Processing ...

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Python Ai Ml information

What are Python AI/ML engineers?

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 professional 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.
What cities in Georgia are hiring for Python Ai Ml jobs? Cities in Georgia with the most Python Ai Ml job openings:
Data Analyst

Full-time

Posted 14 days ago


Job description

Overview:
Data Analyst: This role applies industry-leading methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. This role will apply advanced methods and algorithms for identifying trends, predicting outcomes, and alerting the business to potential issues. Additionally, the Data Analyst is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions.
This role will create analytical models and datasets while working with a Data Engineer to develop code for extracting data from source systems, which will include the Relational Enterprise Data Warehouse, Operational Data Store, and Could platforms. The ideal candidate will also be passionate about developing machine learning models using Azure Databricks and/or Azure ML Studio, or a comparable platform for operationalizing Machine Learning workloads. Multiple could platforms expertise is desired.
Responsibilities:
  • Engage with business partners and stakeholders to understand business problems and translate them into data analytics solutions.
  • Coordinate and collaborate with data engineering, analytic engineering, and other resources to achieve business goals.
  • contribute to the end-to-end development and deployment of predictive and prescriptive models.
  • Explore large datasets using modeling, analysis, and visualization techniques.
  • Communicate results, analyses, and methodologies to technical and non-technical senior level stakeholders.
  • Ability to mentor, coach, and lead others.
  • Contribute to and help build ML/AI vision to support business strategy.

Required Knowledge, Skills, Abilities (Qualifications):
  • Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field.
  • 3 years of experience applying data science, AI/machine learning, or analytics techniques to business problems.
  • Experience with supervised and unsupervised machine modeling techniques, with a focus on time-series forecasting.
  • Experience solving real-world problems using programming languages such as SQL, Spark, and Python, and deploying solutions to enterprise systems in data engineering and data analytics.

Ability to work on data Engineering and bigdata programming tools and technologies such as pig, Hive, Hadoop
Skills:
SQL, Spark, and Python,AI,ML