Key Skills -

Gen AI/LLM, Data Science, SQL, Python, PyTorch, PySpark, GCP, SQL, Git, Deep Learning, Machine Learning

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.

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