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Technology and Engineering | Senior AI Engineer Hybrid

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Publicis Sapient
Full Time position
Listed on 2026-10-12
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 104000 - 130000 USD Yearly USD 104000.00 130000.00 YEAR
Job Description & How to Apply Below
Senior Associate Platform - Chicago Hybrid

As a Senior Associate Platform specializing in AI & Machine Learning, you will play a key role in developing and implementing data-driven solutions that drive business impact. As a Data Scientist, you will work on AI and ML models, leveraging data to create insights and predictive analytics that enhance decision-making and business strategies.

Your Impact
  • Develop and deploy AI & ML models to solve complex business problems.
  • Work on data preprocessing, feature engineering, and model training to improve accuracy and efficiency.
  • Collaborate with cross-functional teams to integrate AI solutions into business processes.
  • Utilize statistical analysis and machine learning algorithms to extract insights from large datasets.
  • Implement and optimize AI models for scalability and performance.
  • Conduct A/B testing and model evaluation to ensure effectiveness.
  • Stay updated on the latest AI & ML trends and technologies to drive innovation.
Skills & Experience
  • 5+ years of experience in AI, machine learning, and data science.
  • Strong proficiency in Python, R, or other programming languages for data analysis and modeling.
  • Hands‑on experience with AI frameworks such as Tensor Flow, PyTorch, or scikit-learn.
  • Expertise in statistical modeling, regression, classification, and clustering techniques.
  • Experience with big data tools such as Spark, Hadoop, or SQL for data processing.
  • Strong problem-solving skills and the ability to translate business needs into AI solutions.
  • Knowledge of cloud platforms (AWS, GCP, Azure) for AI model deployment.
  • Excellent communication and stakeholder management skills.
Set Yourself Apart With
  • Experience in NLP, computer vision, or deep learning applications.
  • Knowledge of reinforcement learning and AI-driven optimization.
  • Background in AI ethics, fairness, and interpretability.
  • Certifications in AI, machine learning, or data science.
Additional Information

Salary Range: $104,000 - $130,000

The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work.

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at

  • An inclusive workplace that promotes diversity and collaboration.
  • Access to ongoing learning and development opportunities.
  • Competitive compensation and benefits package.
  • Flexibility to support work-life balance.
  • Comprehensive health benefits for you and your family.
  • Generous paid leave and holidays.
  • Wellness program and employee assistance.

#LI-Hybrid

Company Description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

Position Requirements
10+ Years work experience
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