Senior ML Engineer - Hybrid, Scale ML for Impact

Publicis Groupe; Chicago (IL); Hybrid; USD 117.000 - 160.000; Vollzeit

Benefits dieser Stelle

Learning opportunities

Competitive pay

Work-life balance

Health benefits

Paid holidays

Wellness program

Zusammenfassung

Publicis Sapient in Chicago Hybrid is seeking a Senior Associate Data Scientist responsible for developing and deploying machine learning models at scale. You will work with cross-functional teams to design data-driven solutions that drive business impact.

You will optimize ML pipelines, ensure production reliability, and apply best practices in preprocessing, feature engineering, and model evaluation, using AWS, GCP, or Azure to train, deploy, and monitor models.

Qualifikationen

• 5+ years of experience in ML, data science, or AI engineering.
• Proven ability to design, deploy, and optimize ML models.
• Experience with ML frameworks and cloud platforms.

Aufgaben

• Design, develop, and deploy ML models at scale.
• Collaborate with data engineers and product managers on end-to-end ML solutions.
• Optimize pipelines for performance and cost efficiency.
• Ensure reliability and maintainability of AI systems in production.
• Use cloud platforms (AWS/GCP/Azure) for training and deployment.
• Implement best practices in data preprocessing and model evaluation.
• Stay updated with ML engineering advancements.

Kenntnisse

ML engineering

Python

TensorFlow/PyTorch

MLOps

Cloud ML platforms

Tools

AWS SageMaker

GCP AI Platform

Azure ML

CI/CD pipelines

Model monitoring

Jobbeschreibung

Publicis Sapient in Chicago Hybrid is seeking a Senior Associate Data Scientist responsible for developing and deploying machine learning models at scale. You will work with cross-functional teams to design data-driven solutions that drive business impact.

You will optimize ML pipelines, ensure production reliability, and apply best practices in preprocessing, feature engineering, and model evaluation, using AWS, GCP, or Azure to train, deploy, and monitor models.