Senior Data Engineer - AI & ML Platforms

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.

• 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).

Publicis Re:Sources is the backbone of Publicis Groupe, the world’s most valuable agency group. We are the only full-service, end-to-end shared service organization in the industry, enabling Groupe agencies to do what they do best: innovate and transform for their clients.

Formed in 1998 as a small team to service a few Publicis Groupe firms, Publicis Re:Sources has grown to 6,200+ employees globally. We provide technology solutions and business services including finance, accounting, legal, benefits, procurement, tax, real estate, treasury and risk management. We continually transform to keep pace with our ever-changing communications industry and thrive on a spirit of innovation felt around the globe. Learn more about Publicis Re:Sources and the Publicis Groupe agencies we support at http://www.publicisresources.com

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• Commit to Quality and Standards
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