Engineering

Artificial Intelligence Engineer

Inabia Software & Consulting Inc.United States🇺🇸United StatesPosted Oct 18, 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to leverage your AI/ML expertise to develop innovative solutions for a major client, with significant potential for professional growth and skill development. If you are a mid-senior AI Engineer with a strong background in NLP, computer vision, Python, and Azure, you will thrive in this collaborative environment, contributing to impactful projects. Apply now to join a reputable company and make a real difference.

Quick Overview

Seniority

Mid Senior

Work mode

Hybrid

Location

United States

Posted

11 hours ago

Job Description

ROLE OVERVIEW

We are seeking an experienced Artificial Intelligence (AI) Consultant to design, develop, deploy, maintain, and optimize AI and machine learning solutions for the Pennsylvania Turnpike Commission (PTC). The ideal candidate will have hands-on experience with AI/ML model development, natural language processing (NLP), computer vision, Python programming, and Microsoft Azure data services.

The consultant will collaborate with cross-functional teams to identify business challenges, develop AI-driven solutions, analyze complex datasets, troubleshoot existing applications, and continuously improve model performance. Strong problem-solving, communication, documentation, and stakeholder collaboration skills are essential.

Required Skills and Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Data Science, or a related field.
Proven professional experience in artificial intelligence, machine learning, or data science.
Hands-on experience designing, developing, and deploying AI/ML models.
Experience with natural language processing (NLP) and computer vision.
Proficiency in one or more programming languages, including Python, R, or Java.
Experience with machine learning frameworks and libraries such as:

TensorFlow
PyTorch
Scikit-learn

Familiarity with Microsoft Azure cloud services.
Experience with Azure Synapse Analytics and data workflows, including data pipelines.
Strong analytical and problem-solving skills.
Ability to troubleshoot technical issues and independently drive solutions.
Excellent written and verbal communication skills.
Ability to collaborate effectively with technical teams and business stakeholders.
Strong documentation, presentation, and organizational skills.