Senior Associate Data Science/Machine Learning - Chicago - Hybrid

Skills & Experience 5+ years of experience in machine learning, data science, or AI engineering.

Strong expertise in ML model development, deployment, and optimization.

Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.

with MLOps, CI/CD pipelines, and model monitoring.

Hands-on experience with cloud-based ML platforms (AWS SageMaker, GCP AI Platform, Azure ML).

Strong understanding of data engineering, data pipelines, and big data technologies.

Excellent problem-solving and analytical skills.

Set Yourself Apart With Experience in building and deploying large-scale AI/ML systems.

Knowledge of Kubernetes, Docker, and other containerization technologies.

Expertise in time-series forecasting, NLP, or computer vision.

Certifications in ML engineering, MLOps, or cloud platforms.

Additional information Additional information: Salary Range: $117,000 - $160,000 The ranges shown above represent a grouping of relevant ranges currently in use at Publicis Sapient.

The actual range for this position may vary based on location and the specific skills required for the role.

include: 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.

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 hiring@publicis.sapient.com