AI Engineer (Agentic AI/Python/GCP)

Danta Technologies; Champaign (IL); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Healthcare insurance

Major holidays

Paid sick leave

Job summary

Danta Technologies seeks an AI Engineer to advance Agentic AI, Gen AI, and ML projects, leveraging Python, PyTorch, PySpark, and GCP for scalable data solutions.

You will analyze customer and marketing data, build models, and collaborate across teams to deploy solutions while maintaining robust version control with Git.

Qualifications

• Proven experience in AI, Machine Learning, and Deep Learning.
• Strong proficiency in Python, PySpark, and PyTorch.
• Experience with GCP and data modeling.
• Familiarity with Git for version control.
• Ability to analyze customer and marketing data effectively.

Responsibilities

• 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 GCP for cloud-based data processing and storage.
• Maintain code and collaborate on projects using Git.

Skills

Agentic AI

Gen AI

AI/ML

Data Science

SQL

Python

Pandas

Deep Learning

Machine Learning

LLM

Data Structures

Bert Transformers

NLP

PyTorch

PySpark

Tools

Git

Google Cloud Platform (GCP)

Job description

Position :

AI Engineer (Agentic AI/Python/GCP)

Onsite/Hybrid work Locations :

Dallas/Irving, TX (First Preference) / Basking Ridge, NJ / Atlanta, GA (2-3 days onsite, 2 days remote)

Contract :

Long term position/Full time with Danta Technologies

We are looking for candidates who are willing to work on Danta Technologies' W2 payroll. C2C candidates will not be considered for this position.

We are looking for candidates with experience in Agentic AI, Gen AI, Cloud,AI/ML, 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.

We are seeking a skilled AI Engineer (Agentic AI/Python/GCP) to join our dynamic team. 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 (GCP) for scalable data solutions. Proficiency in data modeling and version control with Git is essential.

Key Responsibilities

• 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 GCP for cloud-based data processing and storage.


• Maintain code and collaborate on projects using Git.

Requirements

• Proven experience in AI, Machine Learning, and Deep Learning.


• Strong proficiency in Python, PySpark, and PyTorch.


• Experience with GCP and data modeling.


• Familiarity with Git for version control.


• Ability to analyze customer and marketing data effectively.

Notes

:- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Benefits

Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law.

The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.