AI/ML Engineer/Data Scientist

Centraprise • United State
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AI Summary

AI/ML Engineer or Data Scientist role at Centraprise, requiring 3-5+ years of experience in Python, SQL, Generative AI, RAG architectures, and cloud platforms. Develop AI/ML applications, design scalable distributed architectures, and collaborate with cross-functional teams.

Key Highlights
Develop AI/ML applications and APIs
Design scalable distributed application architectures
Collaborate with cross-functional engineering teams
Key Responsibilities
Develop AI/ML applications and APIs using Python and FastAPI
Build and optimize Generative AI and RAG-based solutions
Design scalable distributed application architectures
Work with vector databases and embedding models
Deploy applications on cloud platforms
Develop retrieval pipelines for AI-powered applications
Collaborate with cross-functional engineering teams
Troubleshoot and optimize application performance
Technical Skills Required
Python SQL FastAPI Generative AI RAG Architecture Embedding Models Retrieval Pipelines Vector Databases AWS Azure GCP
Benefits & Perks
$80-85K+
Benefits
H1b Transfers

Job Description


AI/ML Engineer/Data Scientist ($80-85K+ Benefits) + H1b Transfers are Workable

Dallas, TX

Fulltime (Permanent)


Job Description:


Experience: 3-5+ Years


Looking for an AI/ML Engineer or Data Scientist with strong Python and SQL skills, hands-on experience in Generative AI and RAG architectures, and expertise in building APIs using FastAPI. Candidate should have experience with distributed system design, vector databases, embedding models, and cloud platforms such as AWS, Azure, or GCP.


Core Skills:

  • Programming: Python, SQL, FastAPI
  • AI/ML: Generative AI, RAG Architecture, Embedding Models, Retrieval Pipelines
  • Architecture: System Design, Distributed Applications, API Development
  • Cloud: AWS, Azure, GCP
  • Data Platforms: Vector Databases
  • Development: Software Development, Problem Solving, Scalable Solutions


Key Responsibilities:

  • Develop AI/ML applications and APIs using Python and FastAPI
  • Build and optimize Generative AI and RAG-based solutions
  • Design scalable distributed application architectures
  • Work with vector databases and embedding models
  • Deploy applications on cloud platforms
  • Develop retrieval pipelines for AI-powered applications
  • Collaborate with cross-functional engineering teams
  • Troubleshoot and optimize application performance

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