Senior AI & Data Engineer - GenAI, MLOps & Data Pipelines
Publicis Groupe Sweden
Stockholms kommun
Hybrid
SEK 1,100,000 - 1,500,000
Full time
14 days+
Application generator
Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.
Get past ATS filters
Benefits offered by this job
Generous benefits package
Flexible working policies
Global AI learning platform
Work anywhere for six weeks a year
Job summary
A leading communications group in Stockholm is seeking a Senior AI & Data Engineer to drive AI solutions and enhance data capabilities. This role focuses on developing scalable AI and GenAI applications, optimizing data usage, and advising technical teams. The ideal candidate will have significant experience in data engineering and the ability to operate independently in complex settings. The company promotes a flexible work culture, ensuring a balance between work and personal well-being, alongside rich learning opportunities.
Qualifications
5+ years of experience in Data Engineering or similar technical roles.
Proficiency in designing data pipelines with SQL, Python, and Spark.
Proven experience in implementing scalable cloud data solutions.
Strong grasp of API design and system integration.
Experience working independently in complex environments.
Familiarity with MLOps practices.
Responsibilities
Develop and scale AI solutions for measurable business impact.
Design and optimize RAG-based solutions for data handling.
Act as a technical advisor and enabler for AI projects.
Share knowledge and mentor others to build AI maturity.
Skills
Data Engineering
Machine Learning Engineering
Analytics Engineering
SQL
Python
Spark
Cloud Architecture
API Design
MLOps
Job description
A leading communications group in Stockholm is seeking a Senior AI & Data Engineer to drive AI solutions and enhance data capabilities. This role focuses on developing scalable AI and GenAI applications, optimizing data usage, and advising technical teams. The ideal candidate will have significant experience in data engineering and the ability to operate independently in complex settings. The company promotes a flexible work culture, ensuring a balance between work and personal well-being, alongside rich learning opportunities.