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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - AI & ML Platforms - **Company:** Publicis Groupe - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $80,000.0 - $110,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Databases, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Data Security, Python (Programming Language), Power BI, Unstructured Data, Data Logging, Microsoft Power Automate, Large Language Models, Snowflake, Apache Spark, Generative AI, AI Platforms, Kubernetes, Bicep, Machine Learning Operations, Virtual Agents, Terraform, Data Pipelines, Automation Anywhere - **Published:** May 13, 2026 - **Apply:** https://www.chicagocareersite.com/job.asp?id=3263140703&tx=KL4747FFL&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 5+ years of data engineering experience. Exposure to ML or AI workflows is a strong plus. * Strong Python skills, familiarity with Java or a similar language is a bonus. * Practical experience with ML lifecycle tools such as MLflow, Kubeflow, or Weights & Biases. * Basic knowledge with IaC (Terraform, Bicep) * Understanding & implementation knowledge of CI/CD pipeline & Strategies. * Understanding on capacity planning & troubleshooting. * Basic knowledge of different database technologies. * Comfortable working with cloud infrastructure - AWS, GCP, or Azure. * Solid understanding of data modelling principles and how to apply them in practice. * Experience with tools like Apache Airflow, Snowflake, dbt, Apache Spark, Fabrics and PowerBI. Nice to have * Experience with LLM fine-tuning or building data workflows for generative AI. * Familiarity with Microsoft Copilot or similar AI assistant platforms. * Background in handling sensitive or regulated data (PII, HIPAA, GDPR). ## Description We're hiring a Senior Data Engineer with hands-on AI/ML experience to join our growing team. You'll work closely with data scientists, ML engineers, product managers, and business stakeholders - helping us build and maintain the data infrastructure that sits at the core of our AI products., What you'll be doing * Design, build, and scale data pipelines that support training datasets, fine-tuning workflows, and real-time inference systems. * Develop and optimize workflows for structured, semi-structured, and unstructured data. * Build and maintain data infrastructure for LLM applications, feature stores, databases, and prompt logging. * Implement data quality frameworks covering validation, monitoring, and automated alerting to keep AI/ML datasets accurate and reliable. * Work closely with ML engineers to ensure smooth model training and deployment through dependable data access patterns. * Set and drive best practices around data modelling, documentation, and governance across the AI platform. * Partner with business stakeholders to understand requirements and translate them into scalable data solutions., This job description in no way states or implies that these are the only duties to be performed by the employee(s) currently in this position. Employee(s) will be required to follow any other job related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. A review of this position has excluded the marginal functions of the position that are incidental to the performance of fundamental job duties. All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbent(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an ""at-will"" relations. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? 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