AI/ML Engineer + Data Scientist

Centraprise
Dallas, US
On-siteVisa sponsorship

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • develop AI/ML applications and APIs
  • build and optimize Generative AI and RAG-based solutions
  • work with vector databases and embedding models
  • deploy applications on cloud platforms
  • develop retrieval pipelines for AI-powered applications
Typical background
AI/MLPythonSQL

Transferable backgrounds

  • Coming from data scientist
  • Coming from software engineer

Skills & requirements

Required

Ai/mlPythonSQLFastapiGenerative AIRAG ArchitectureEmbedding ModelsVector DatabasesDistributed SystemsCloud Platforms

Preferred

API DevelopmentScalable Solutions

Stack & domain

PythonSQLFastapiGenerative AiRag ArchitectureEmbedding ModelsVector DatabasesCloud PlatformsProblem-solvingCollaborationAIMLCloud Computing

About the role

Original posting from Centraprise

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

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
  • 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
  • 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

Source: Centraprise careers

Similar roles