AI/ML Engineer C2C requirements Austin, TX (Onsite) ||

Job Title: Artificial Intelligence / Machine Learning Engineer

Job Location:  Austin, TX (Onsite)

Job Type: Contract C2C requirements

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