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Agent Based Modeling Jobs in Georgia (NOW HIRING)

Tror AI for everyone

Data Scientist

Atlanta, GA · On-site

Experience building and deploying models using modern ML and MLOps practices, including experiment ... Strong understanding of AI-assisted software development workflows, including agent-based coding ...

ERM

Utility Agent (Field Based)

Atlanta, GA · On-site

We call this capability our "boots to boardroom" approach for its comprehensive service model that ... Based on review of these responses, shortlisted candidates will be invited for interviews. ERM does ...

ERM

Utility Agent (Field Based)

Duluth, GA · On-site

We call this capability our "boots to boardroom" approach for its comprehensive service model that ... Based on review of these responses, shortlisted candidates will be invited for interviews. ERM does ...

NLB Services

Program Manager II

Atlanta, GA · On-site

... AI/agent-based enablement. Translate business process insights into structured requirements ... Experience with process mapping, workflow analysis, and process modeling techniques. Strong ...

Speria

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $160/hr

The role spans data processing, feature engineering, model development, optimization modeling, and ... Familiarity with LLMs, generative AI, and agent-based systems * MS may qualify with 1-2 years; BS ...

New

CSAA

Lead the design, development, and validation of simulation models (discrete-event, agent-based, system dynamics, or hybrid). * Translate business or operational problems into robust simulation ...

Daimler

AI Productization Engineer

Atlanta, GA · On-site

Experience supporting AI and agent-based solutions in production. * Caching technologies (Redis ... model. EEO Statement Mercedes-Benz USA is committed to fostering an inclusive environment that ...

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All JobsAgent Based Modeling JobsAgent Based Modeling Jobs in Georgia

Agent Based Modeling information

See Georgia salary details

$12

$25

$33

How much do agent based modeling jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for agent based modeling in Georgia is $25.45, according to ZipRecruiter salary data. Most workers in this role earn between $19.90 and $33.51 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the agent based modeling position, and why are they important?

To thrive in an Agent Based Modeling role, a strong background in computational modeling, mathematics, and systems analysis is typically required, often supported by a degree in computer science, engineering, or a related field. Proficiency with simulation tools such as NetLogo, AnyLogic, or Repast, as well as programming languages like Python or Java, is highly valuable. Effective communication, critical thinking, and strong collaboration skills help professionals explain complex models to stakeholders and work within multidisciplinary teams. These qualities are crucial for accurately simulating real-world systems, delivering actionable insights, and driving informed decision-making in various industries.

What are some typical challenges faced in an agent based modeling position?

A common challenge in Agent Based Modeling is accurately representing complex, real-world systems with diverse and dynamic agents while balancing computational resources and model simplicity. Professionals in this role often need to validate and calibrate their models with limited or imperfect data, requiring both technical skill and creativity. Additionally, effectively communicating modeling results to non-technical stakeholders and integrating feedback into iterations is a key part of the job. Overcoming these challenges provides rewarding opportunities to contribute to innovative solutions across areas like finance, healthcare, logistics, or social sciences.

What is an agent based modeling?

An Agent-Based Modeling (ABM) job involves developing and implementing simulations that model the interactions of autonomous agents within a system. These roles are common in fields like economics, epidemiology, traffic modeling, and artificial intelligence. Professionals in this role use programming and mathematical models to analyze complex systems and predict emergent behaviors. Key skills typically include coding (Python, NetLogo, or AnyLogic), data analysis, and knowledge of computational modeling techniques.

What are popular job titles related to Agent Based Modeling jobs in Georgia? For Agent Based Modeling jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Agent Based Modeling jobs in Georgia look for? The top searched job categories for Agent Based Modeling jobs in Georgia are:
What cities in Georgia are hiring for Agent Based Modeling jobs? Cities in Georgia with the most Agent Based Modeling job openings:
Agent Based Modeling jobs near you
Infographic showing various Agent Based Modeling job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $52,945 per year, or $25.5 per hour.

Data Scientist

Tror AI for everyone

Atlanta, GA • On-site

Contractor

Re-posted 13 days ago

Job description

Job Role: Senior Data Scientist

Job Location: Atlanta, GA (Onsite)

Job Type: Contract

Note: Notes: Need someone who has experience with Python programming, NumPy or Pandas and along with Agentic Ai development on Cloudera or Deatricks.

Job Description: 
We are looking for candidates with strong Python-based data science and machine learning experience, combined with hands-on exposure to modern AI/LLM frameworks and agentic AI development on Cloudera / Databricks.

In this role, you will:
• Join Technology team to develop analytical frameworks and reliable measurement strategies for various products, services, and capabilities.
• Design, execute, and analyze complex business and user experiments
• Partner with Product partners and other Data Engineers to set the vision and develop experimentation specifically focused on Profiling Engine, Advanced Segmentation Engine and Advanced Targeting.
• Communicate key insights from analyses, experiments, and data products to stakeholders.

All About you:

  • Core Data Science & Analytics Demonstrate strong expertise in data exploration, feature engineering, statistical modeling, and predictive analytics, with the ability to operationalize models in production environments.
  • Have deep proficiency in Python (preferred) and/or R, with experience using modern data science libraries such as NumPy, Pandas, Scikit-learn, and PyTorch or TensorFlow.
  • Be highly proficient in SQL and experienced in working with large-scale data warehouses and data pipelines.


Machine Learning & AI Engineering:

  • Possess strong experience developing, evaluating, and deploying machine learning and deep learning models across the model lifecycle.
  • Experience building and deploying models using modern ML and MLOps practices, including experiment tracking, model versioning, CI/CD for ML, and monitoring.
  • Familiarity with cloud-based ML platforms (AWS preferred) and distributed data processing frameworks (e.g., Spark).


Generative AI & Agentic Systems:

  • Hands-on experience with Large Language Models (LLMs) and Generative AI frameworks, including prompt engineering, retrieval-augmented generation (RAG), and model orchestration.
  • Experience building AI agents or agentic workflows capable of reasoning, tool use, multi-step task execution, and autonomous decision-making.
  • Familiarity with LLM application frameworks (e.g., LangChain, LlamaIndex, or similar orchestration frameworks).
  • Experience with vector databases, embeddings, and semantic search for building knowledge-driven AI systems.


Agentic Coding & AI-Assisted Development:

  • Strong understanding of AI-assisted software development workflows, including agent-based coding, code generation, automated debugging, and evaluation loops.
  • Experience integrating LLMs with APIs, internal tools, and data systems to build production-grade AI copilots or autonomous workflows.


Business Impact & Communication:

  • Ability to translate complex technical concepts into clear business insights, communicating effectively with both technical and non-technical stakeholders.
  • Strong analytical thinking with the ability to work with ambiguous or incomplete data, develop creative analytical approaches, and connect results to business outcomes.


Domain & Collaboration:

  • Experience applying data science in digital marketing, customer analytics, or growth analytics is highly desirable but not mandatory.
  • Comfortable collaborating with engineering, product, and business teams to build scalable data products and AI-driven solutions.
 

Nagendra

US IT Recruiter | TROR LLC

Ph: 615-857-6282 | Email: nregella@tror.ai

LinkedIn: https://www.linkedin.com/in/nagendra-nag-1b7665b8/

Website: https://tror.ai

Address: 401 Ronan Way, Spring Hill, TN 37174