AI & Machine Learning Engineer - Chicago Hybrid

Posted 7 Oct

What’s this role about? Develop and deploy AI and machine learning models to solve complex business problems while collaborating with cross-functional teams. You will perform data preprocessing, feature engineering, and model optimization to ensure scalability and business impact.

Chicago, Illinois

Hybrid

$104K – $130K

Full-time

5-10 years exp

Skills required

Tap the ones you have

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Company

Publicis Groupe Holdings B.V

See all employees

publicisgroupe.com

11-50 employees

Information Services

AMSTELVEEN

Responsibilities

As a Senior Associate Platform specializing in AI & Machine Learning, you will play a key role in developing and implementing data-driven solutions that drive business impact. As a Data Scientist, you will work on AI and ML models, leveraging data to create insights and predictive analytics that enhance decision-making and business strategies.
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.

Qualification

TechnologyData & AnalyticsSoftwareConsultingEngineering

5+ years of experience in AI, machine learning, 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.
Experience in NLP, computer vision, or deep learning applications.
Knowledge of reinforcement learning and AI-driven optimization.
Background in AI ethics, fairness, and interpretability.
Certifications in AI, machine learning, or data science.

Benefits

The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work.
An inclusive workplace that promotes diversity and collaboration.
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.

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