Senior AI/ML Engineer - Scale Models & Pipelines (Hybrid)

Publicis Groupe; Chicago, Northern (IL, KY); Hybrid; USD 117,000 - 160,000; Full time

Benefits offered by this job

Learning & development

Competitive compensation

Work-life balance

Health benefits

Paid leave

Job summary

Publicis Sapient in Chicago is seeking a Senior Associate Data Scientist to design, develop, and deploy machine learning models at scale. You will work with cross-functional teams to deliver data-driven solutions that drive business impact and optimize ML pipelines in production.

You will rely on Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, Azure) while advancing MLOps, CI/CD processes, and monitoring to ensure reliable performance and scalability across projects.

Qualifications

• 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.
• Experience 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.

Responsibilities

• Design, develop, and deploy machine learning models to solve complex business problems.
• Collaborate with data engineers, product managers, and business stakeholders to implement end-to-end ML solutions.
• Optimize and scale machine learning pipelines for performance and efficiency.
• Ensure the reliability, scalability, and maintainability of AI/ML systems in production.
• Utilize cloud-based platforms (AWS, GCP, Azure) for model training, deployment, and monitoring.
• Implement best practices in data preprocessing, feature engineering, and model evaluation.
• Stay updated with the latest advancements in ML engineering and AI technologies.

Skills

ML model development

MLOps

Python

TensorFlow

PyTorch

Cloud platforms

Data engineering

Problem solving

Tools

CI/CD pipelines

Kubernetes

Docker

Job description

Publicis Sapient in Chicago is seeking a Senior Associate Data Scientist to design, develop, and deploy machine learning models at scale. You will work with cross-functional teams to deliver data-driven solutions that drive business impact and optimize ML pipelines in production.

You will rely on Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, Azure) while advancing MLOps, CI/CD processes, and monitoring to ensure reliable performance and scalability across projects.