Senior AI Engineer — Hybrid (ML, Data & Impact)

Publicis Sapient; Chicago (IL); Hybrid; USD 104,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation

Flexible work arrangements

Health benefits

Paid time off

Wellness program

Job summary

Publicis Sapient is seeking a Senior Associate Platform in Chicago to develop and deploy AI/ML models that drive business impact. You’ll work on data preprocessing, feature engineering, and model training while collaborating with cross-functional teams to scale AI solutions across business processes.

The role emphasizes statistical modeling, cloud deployment (AWS/GCP/Azure), and strong communication with stakeholders. A hybrid work setup is available with competitive benefits.

Qualifications

• 5+ years of experience in AI, ML, 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 TensorFlow, 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.

Responsibilities

• 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

Python

R

ML modeling

Statistical analysis

Data preprocessing

Model deployment

Communication

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

SQL

AWS

GCP

Azure

Job description

Publicis Sapient is seeking a Senior Associate Platform in Chicago to develop and deploy AI/ML models that drive business impact. You’ll work on data preprocessing, feature engineering, and model training while collaborating with cross-functional teams to scale AI solutions across business processes.

The role emphasizes statistical modeling, cloud deployment (AWS/GCP/Azure), and strong communication with stakeholders. A hybrid work setup is available with competitive benefits.