Read Notes Before Sending the Profiles || AI/ML Engineer || Austin, TX (Onsite) ||

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YASH SHARMA

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Apr 10, 2026, 1:26:57 PMApr 10
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Job Title: Artificial Intelligence / Machine Learning Engineer

Job Location:  Austin, TX (Onsite)

Job Type: Contract


Notes:

  • Only for H1B/H4-EAD Candidates
  • Only  for Texas Candidates
  • Must have 3-4 Years of Experience in the USA


Job Description:

Client is seeking a motivated Artificial Intelligence / Machine Learning Engineer to join its Traffic Technology team.

This role focuses on developing AI/ML proof-of-concepts and scalable solutions that enhance roadway safety and operational efficiency.
The ideal candidate will work closely with cross-functional teams to gather requirements, build intelligent systems, and deliver impactful AI-driven solutions.

 

Key Responsibilities:

  • Develop AI/ML models and solutions from concept through deployment under guidance of senior engineers
  • Build and maintain ML pipelines for data processing, model training, and inference
  • Support development and deployment of production-ready ML models
  • Contribute to MLOps practices including model monitoring and lifecycle management
  • Create internal tools and scripts to improve team efficiency
  • Collaborate with Traffic Technology, IT AI teams, and research teams to deliver solutions
  • Work with command-line tools and development environments effectively

 

Required Qualifications:

  • 1–2 years of hands-on experience with Python (projects, internships, or professional experience)
  • Strong understanding of AI/ML fundamentals with practical implementation experience
  • Familiarity with at least one cloud platform ( AWS, Azure, GCP, or OCI)
  • Basic knowledge of Docker and CI/CD concepts
  • Experience with SQL and exposure to NoSQL or vector databases
  • Working knowledge of Bash or PowerShell scripting

 

ML Domain Experience (At least one required):

  • Natural Language Processing (NLP), LLMs, or prompt engineering
  • Time series forecasting or anomaly detection
  • Recommender systems or personalization models
  • Exposure to MLOps tools (e.g., MLflow, Airflow) is a plus

 

Preferred Qualifications:

  • Experience with CI/CD tools such as GitHub Actions or Azure DevOps
  • Familiarity with PyTorch or TensorFlow
  • Basic knowledge of Computer Vision
  • Interest in real-time ML systems, streaming data, or edge deployment
  • Contributions to open-source projects, technical blogs, or strong academic projects


Yash Sharma | Technical Recruiter

Email: yashsitre...@gmail.com

 

An E-verify Employer 

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