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Data and AI Engineer

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full-time

Posted on:

Location Type: Hybrid

Location: Chicago • Illinois • 🇺🇸 United States

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Salary

💰 $110,000 - $130,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudETLPythonPyTorchTensorflow

About the role

  • Lead complex AI projects including a team of professionals
  • Support the planning and execution of data migration and integration initiatives
  • Assist in the design, development, and maintenance of data pipelines and ETL workflows
  • Work closely with data engineers and scientists to build and enhance machine learning models
  • Contribute to the development and deployment of AI-driven applications and services
  • Stay informed on emerging trends and advancements in data science and AI
  • Contribute to development of innovative data-driven solutions for Automotive, Manufacturing, and Smart Infrastructure customers

Requirements

  • 3 years of professional experience in data engineering, AI/ML, or a related technical field
  • 1 year of hands-on experience supporting complex AI-related projects
  • Strong understanding of programming principles and data structures
  • Proficiency in Python (3 yrs experience)
  • Strong knowledge in at least one of the following areas: Generative AI services (e.g., OpenAI, Bedrock) or Computer Vision
  • Experience with cloud platforms like AWS, Azure, or Google Cloud
  • Familiarity with version control systems like Git
  • Basic understanding of data analysis techniques and statistical methods
  • Familiarity with machine learning frameworks such as TensorFlow or PyTorch (preferred)
  • Understanding of data preprocessing techniques and feature engineering (preferred)
  • Experience with Snowflake (preferred)
  • 2 years of experience leading technical projects (preferred)
Benefits
  • plus benefits 📊 Resume Score Upload your resume to see if it passes auto-rejection tools used by recruiters Check Resume Score

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringAI/MLPythonGenerative AIComputer Visiondata analysis techniquesstatistical methodsdata preprocessingfeature engineeringETL workflows
Soft skills
leadershipteam collaborationproject managementcommunicationproblem-solvinginnovation