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AI Engineer (Agentic AI/Python/GCP)

Danta Technologies

New York, United States (Hybrid) · Contracter

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Expérience
N'importe lequel
Salaire
Ouvertures
1
Publié
il y a 8 heures
Mode de travail
Hybride
CV
Candidature requise

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Description de l'emploi

Overview

Danta Technologies is seeking a knowledgeable AI Engineer to join their team on a long-term contract basis, working primarily onsite or hybrid across preferred locations in Dallas/Irving, TX, with additional locations in Basking Ridge, NJ, and Atlanta, GA. Candidates must be willing to work on Danta's W2 payroll; C2C applicants will not be accepted.

Role and Responsibilities

  • Design, develop, and deploy AI, machine learning, and deep learning models.
  • Analyze complex datasets, targeting customer and marketing data insights.
  • Create data models aligned with organizational goals.
  • Work collaboratively with diverse teams to operationalize models using Python, PySpark, and PyTorch.
  • Leverage Google Cloud Platform technologies for scalable data processing and storage solutions.
  • Manage and version control codebases utilizing Git.

Required Expertise

  • Hands-on experience in agentic AI, generative AI, and other AI/ML domains.
  • Proficient programming skills in Python, including data manipulation with Pandas.
  • Competency in PySpark and PyTorch frameworks.
  • Familiarity with natural language processing techniques, including BERT transformers.
  • Knowledge of SQL, data structures, and deep learning methodologies.
  • Experience with Google Cloud Platform services and data modeling techniques.
  • Version control skills employing Git.

Additional Information

Danta Technologies is an equal opportunity employer; all qualified candidates will be considered regardless of race, gender, age, disability, or other protected characteristics as defined by law.

Employees on W2 will receive competitive compensation packages, including options for dental, medical, and vision insurance, paid major holidays, and sick leave as applicable by state laws.

The salary range is influenced by qualifications, experience, and geographic location.

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