Senior AI Engineer - Hybrid, Scale ML for Impact

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

Benefits offered by this job

Flexible schedule

Health benefits

Professional development

Diversity & inclusion

Job summary

Publicis Sapient is seeking a Senior Associate Platform specializing in AI & ML in Chicago. You will develop and deploy AI/ML models, work on data preprocessing, feature engineering, and model training to drive business impact.

Collaboration with cross-functional teams is essential to integrate AI into processes. The role requires 5+ years in AI/ML, proficiency in Python/R, and experience with TensorFlow/PyTorch/scikit-learn, plus cloud deployment on AWS/GCP/Azure.

Qualifications

• 5+ years of AI, ML, and data science experience.
• Strong programming in Python or R for data analysis.
• Hands-on with TensorFlow, PyTorch, or scikit-learn.
• Experience with statistical modeling, regression, and clustering.
• Experience with Spark, Hadoop, or SQL for data processing.
• Ability to translate business needs into AI solutions.
• Knowledge of cloud platforms (AWS, GCP, Azure) for deployment.
• Excellent communication and stakeholder management.

Responsibilities

• Develop and deploy AI & ML models to solve complex business problems.
• Preprocess data, engineer features, train models to improve accuracy.
• Collaborate with cross-functional teams to integrate AI.
• Use statistical analysis to extract insights from large datasets.
• Implement and optimize AI models for scalability and performance.
• Conduct A/B testing and model evaluation.
• Stay updated on AI/ML trends to drive innovation.

Skills

Python

R

TensorFlow

PyTorch

scikit-learn

Statistical Modeling

Big Data

Cloud Deployment

Tools

Spark

SQL

Hadoop

AWS

GCP

Azure

Job description

Publicis Sapient is seeking a Senior Associate Platform specializing in AI & ML in Chicago. You will develop and deploy AI/ML models, work on data preprocessing, feature engineering, and model training to drive business impact.

Collaboration with cross-functional teams is essential to integrate AI into processes. The role requires 5+ years in AI/ML, proficiency in Python/R, and experience with TensorFlow/PyTorch/scikit-learn, plus cloud deployment on AWS/GCP/Azure.