Artificial Intelligence / Machine Learning Engineer

Lumen Solutions Group Inc.

Austin (TX)

On-site

USD 80,000 - 120,000

Full time

14 days+

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Job summary

A technology consulting services company based in Austin is seeking an Artificial Intelligence / Machine Learning Engineer. This position involves developing AI/ML solutions that enhance roadway safety and operational efficiency. The ideal candidate will have hands-on experience with Python and AI/ML fundamentals, with a focus on collaborating with cross-functional teams to deliver impactful systems. Essential qualifications include familiarity with cloud platforms and tools like Docker and CI/CD, with preferences for experience in modern ML techniques.

Qualifications

  • 1–2 years of hands-on experience with Python.
  • Strong understanding of AI/ML fundamentals.
  • Familiarity with at least one cloud platform.

Responsibilities

  • Develop AI/ML models and solutions from concept through deployment.
  • Build and maintain ML pipelines for data processing.
  • Collaborate with teams to deliver impactful AI-driven solutions.

Skills

Python
AI/ML fundamentals
SQL
Docker
CI/CD concepts

Tools

AWS
Azure
PyTorch
TensorFlow

Job description

Company Description

Lumen Solutions Group Inc. is a technology consulting Services Company based in Florida. We provide a wide array of experienced business and IT professionals supporting clients from solution design to implementation and support. We specialize in professional IT consulting services, IT Staffing, Business/IT Strategy, Business Process Blueprints, Enterprise Architecture, Enterprise Transformation.

Job Title

Artificial Intelligence / Machine Learning Engineer

Location

Austin, TX (Onsite 4 days)

Job Type

Contract

Job Description

The Texas Department of Transportation (TxDOT) 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.
EEO Statement

Lumen Solutions Group Inc is an equal opportunity employer. All qualified applicants will be considered for employment without regard to any legally protected status.

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