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# Gen AI Engineer (Agentic AI/Python/Google Cloud Platform-Google ADK

- **Company:** Danta Technologies
- **Location:** Atlanta, GA, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Database, Computer Programming, Data Structures, Python (Programming Language), Machine Learning, Marketing Information Systems, Natural Language Processing, SQL Databases, Google Cloud, Pytorch, Large Language Models, Deep Learning, Git, Pandas, Build Management, Pyspark, Machine Learning Operations, Virtual Agents, Software Version Control, Data Pipelines
- **Published:** August 7, 2026
- **Apply:** https://www.dice.com/job-detail/955d59a5-a6dd-452c-b065-ec8501566588

## About the Role

We are looking for candidates with experience in Agentic AI, Gen AI, Google ADK (Preferrable), Google Cloud Platform,strong coding experience in Python (Read & Write), Data Structures, SQL.

Key Skills -
Agentic AI, Gen AI, AI/ML, Data Science, SQL, Python, Pandas, Deep Learning, Machine Learning, LLM, Data Structures, Bert Transformers, NLP, PyTorch, PySpark.

The ideal candidate will leverage their expertise in Artificial Intelligence, Machine Learning, and Deep Learning to drive insights and innovation from customer and marketing data. You will work extensively with Python, PySpark, and PyTorch, utilizing Google Cloud Platform (Google Cloud Platform) for scalable data solutions. Proficiency in data modeling and version control with Git is essential., * Proven experience in AI, Machine Learning, and Deep Learning.

 * Strong proficiency in Python, PySpark, and PyTorch.
 * Experience with Google Cloud Platform and data modeling.
 * Familiarity with Git for version control.
 * Ability to analyze customer and marketing data effectively.

## Description

* Develop and implement AI, Machine Learning, and Deep Learning models.
 * Analyze and interpret complex datasets, focusing on customer and marketing data.
 * Design and build data models to support business objectives.
 * Collaborate with cross-functional teams to deploy models using Python, PySpark, and PyTorch.
 * Utilize Google Cloud Platform for cloud-based data processing and storage.
 * Maintain code and collaborate on projects using Git.


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