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Chinese/Mandarin AI/ML Engineer

Aivra Health LLCDallas, TX🇺🇸United StatesPosted 12 Aug 2026

Why This Role Stands Out

This hybrid role offers you the chance to leverage your Mandarin proficiency and AI/ML expertise to make a significant impact within a reputable health technology company. If you are a recent Master's graduate with a passion for innovation and a desire to grow your career in a dynamic environment, this opportunity is perfect for you to apply.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Chinese/Mandarin AI/ML Engineer

Location: United States 🇺🇸
Job Type: Full-Time
Experience: 0–3 Years
Graduation: 2024–2026 Master''s Graduates

🚨 Key Requirement

Chinese / Mandarin Language Proficiency — REQUIRED

We are specifically seeking Chinese/Mandarin-speaking AI/ML professionals currently located in the United States.

Candidates should be able to communicate effectively in Mandarin Chinese and have a strong technical background in Artificial Intelligence, Machine Learning, Computer Science, Information Technology, Data Science, or a related field.

Job Summary

We are looking for talented Chinese/Mandarin-speaking AI/ML Engineers who completed a Master''s degree in the United States between 2024 and 2026.

The ideal candidate will have strong hands-on experience with AI/ML technologies through internships, university projects, research, capstone projects, GitHub projects, or professional experience.

Required Qualifications

  • Chinese/Mandarin language proficiency — REQUIRED

  • Currently located in the United States

  • Master''s degree completed in 2024, 2025, or 2026

  • Master''s degree in:

    • Computer Science

    • Information Technology

    • Artificial Intelligence

    • Machine Learning

    • Data Science

    • Computer Engineering

    • Software Engineering

    • Information Systems

    • or related technical field

  • Master''s degree from a US university preferred

  • 0–3 years of relevant experience

  • Strong Python programming skills

  • Strong understanding of Machine Learning and Deep Learning

  • Experience with PyTorch, TensorFlow, or Scikit-learn

  • Experience with NumPy, Pandas, and SQL

  • Knowledge of model training, evaluation, optimization, and deployment

Preferred AI/ML Skills

  • Generative AI

  • Large Language Models (LLMs)

  • RAG

  • NLP

  • Computer Vision

  • Prompt Engineering

  • LangChain / LangGraph

  • Hugging Face

  • AWS / Azure / Google Cloud Platform

  • Docker

  • MLflow / MLOps

  • REST APIs

  • Git/GitHub

Responsibilities

  • Develop and optimize machine learning and deep learning models.

  • Build AI/ML applications using Python.

  • Perform data preprocessing and feature engineering.

  • Train, evaluate, and improve ML models.

  • Work with structured and unstructured datasets.

  • Develop Generative AI and LLM-based applications.

  • Collaborate with software engineers and data science teams.

  • Deploy and maintain AI/ML models.

  • Research and evaluate emerging AI technologies.

  • Document technical implementations and project results.

Ideal Candidate

We are especially interested in candidates who have:

  • Chinese/Mandarin language proficiency

  • A 2024–2026 Master''s degree from a US university

  • AI/ML-related academic or professional background

  • 0–3 years of experience

  • Strong Python + ML skills

  • AI/ML internships, research, or university projects

  • GitHub/portfolio demonstrating practical AI/ML work

  • Experience with LLMs, Generative AI, NLP, or Computer Vision

Work Authorization

Candidates must have valid authorization to work in the United States, subject to the employer and position requirements.

Examples may include OPT/STEM OPT, H-1B, , or other applicable US work authorization.

Target Candidate

Chinese/Mandarin + US-based + Master''s (2024–2026) + AI/ML + Python + 0–3 years experience

Skills

Docker
SQL
AWS
MLOps
MLflow
Machine Learning
NLP
NumPy
Scikit-learn
Azure
Computer Vision
Deep Learning
Generative AI
Git
Google Cloud
Hugging Face
LLM
Pandas
PyTorch
Python
REST
TensorFlow

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