Gen AI Engineer

Danta Technologies

$125K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in AI, Machine Learning, and Deep Learning.
  • Strong coding skills in Python, with hands-on experience in PySpark and PyTorch.
  • Proficient in deploying applications on GCP.
  • Expertise in data modeling and handling complex datasets.
  • Familiar with version control systems, specifically Git.

Responsibilities

  • Develop and implement AI, Machine Learning, and Deep Learning models.
  • Analyze and interpret complex datasets related to customer and marketing.
  • Design and build data models to meet business goals.
  • Collaborate with teams to deploy models using Python and PySpark.
  • Utilize Google Cloud Platform for data processing and storage.
  • Maintain code quality and manage collaboration through Git.

Benefits

  • Competitive healthcare insurance options (Dental, Medical, Vision).
  • Paid major holidays and sick leave as per state law.
Full Job Description
Position - 1
Customer: Telecommunication Industry
Position: Gen AI Engineer (Agentic AI/Python/GCP-Google ADK preferred)
Onsite/Hybrid work Locations: Dallas/Irving, TX (First Preference) / Basking Ridge, NJ / Atlanta, GA (2-3 days onsite, 2 days remote)
Long-term position

Pay rate - Negotiable. We are looking for independent candidates who can be employed under Danta Technologies payroll

We are looking for candidates with experience in Agentic AI, Gen AI, Google ADK (Preferable), GCP, 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 (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.
  • nalyze 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.
  • bility to analyze customer and marketing data effectively.


Position - 2
Client: Telecommunication Industry
Job Title: Production AI Platform Engineer (GCP)
Onsite/Hybrid work Locations: Dallas/Irving, TX (First Preference) / Basking Ridge, NJ / Atlanta, GA (2-3 days onsite, 2 days remote)
Long-term position

Job Summary
We are looking for a Production AI Platform Engineer with strong experience building and supporting production-grade applications. This is not a traditional Data Scientist role.

Required Skills
  • Production Engineering - Experience with scalable production systems, Kubernetes, Docker, CI/CD, Terraform, monitoring, and microservices.
  • GCP Deployments - Hands-on experience deploying and managing applications on Google Cloud Platform (GKE, Cloud Run, BigQuery, Pub/Sub, IAM).
  • I Engineering (Preferred) - Experience with LLMs, RAG, embeddings, vector databases, or AI agents is a plus.

Note: We are looking for software/infrastructure engineers with production experience. AI skills are preferred but can be learned; strong production engineering is the highest priority.

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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