AI Engineer (Associate) - Remote

Huron; Chicago (IL); Hybrid; USD 100,000 - 125,000; Full time

Job summary

A leading global consultancy seeks a professional to design AI-powered systems. As part of a dynamic team, you'll utilize Python and cutting-edge technologies to develop intelligent applications and manage data pipelines. Join a culture that encourages innovation and flexible working locations across the U.S. or Canada.

Benefits

Comprehensive benefits including medical, dental, and vision

Flexible living locations across U.S. or Canada

Annual incentive compensation program

Qualifications

• Minimum of 4 years in AI/ML development.
• Proficient in Python and familiar with ML/AI libraries.
• Experience in API or backend services development.

Responsibilities

• Design and develop AI-powered systems using machine learning techniques.
• Build intelligent applications capable of autonomous operation.
• Develop data pipelines for model training and monitor system behavior.

Skills

Python

Machine Learning

AI Technologies

Data Pipelines

API Development

Education

Bachelor’s degree in Computer Science

Engineering

Data Science

Tools

scikit-learn

PyTorch

TensorFlow

FastAPI

Flask

Azure

AWS

Docker

Job description

Employer Industry: Global Consultancy

Why consider this job opportunity:
- Salary up to $125,000
- Opportunity to participate in annual incentive compensation program, reflecting a pay-for-performance philosophy
- Access to comprehensive benefits, including medical, dental, and vision coverage, as well as wellness programs
- Flexible living locations across the U.S. or Canada with the ability to travel as needed
- Engage with emerging AI technologies and collaborate with cross-functional teams
- Chance to work on innovative projects that drive strategic growth and operational transformation

What to Expect (Job Responsibilities):
- Design and develop AI-powered systems using machine learning and generative AI techniques
- Build intelligent applications and agents capable of performing tasks autonomously or interactively
- Create modular, well-documented APIs and service components for model integration
- Develop and manage data pipelines to support model training, including data collection and quality assurance
- Implement mechanisms to monitor AI system behavior, ensuring accuracy and reliability

What is Required (Qualifications):
- Minimum of 4 years of hands-on experience in AI/ML development or intelligent application engineering
- Proficiency in Python and familiarity with modern ML/AI libraries such as scikit-learn, PyTorch, and TensorFlow
- Experience building APIs or backend services using FastAPI, Flask, or equivalent frameworks
- Familiarity with cloud platforms like Azure or AWS and containerization tools such as Docker
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field

How to Stand Out (Preferred Qualifications):
- Exposure to agent frameworks like LangGraph or AutoGen and vector databases
- Experience with MLOps pipelines, CI/CD for model delivery, or model monitoring
- Familiarity with orchestration standards or tools such as MCP or agent routing protocols
- Cloud certifications in AI/ML services (Azure, AWS, or Google Cloud)
- Strong ability to communicate effectively with both technical and non-technical audiences

#AIEngineering #MachineLearning #ConsultancyCareers #CareerGrowth #FlexibleWork

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