AI Engineer (Agentic AI/Python/GCP)

Danta Technologies; Berkeley (CA); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Healthcare (Dental, Medical, Vision)

Major holidays

Paid sick leave

Job summary

Danta Technologies seeks an AI Engineer to advance Agentic AI solutions using Python, PyTorch, PySpark and GCP. The role focuses on building robust models and deriving actionable insights from data in a dynamic environment.

The position is full-time with onsite/hybrid options across multiple U.S. locations. Emphasis on data modeling, software engineering practices, and scalable ML deployments.

Qualifications

• Experience in AI/ML and deep learning.
• Strong Python, PySpark and PyTorch skills.
• Experience with GCP and data modeling.
• Familiarity with Git for version control.
• Ability to analyze customer and marketing data.

Responsibilities

• Develop and implement AI, ML, 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

Tools

PySpark

Git

GCP

Data Modeling

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, 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,

We are seeking a skilled Data Scientist 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.