We are seeking a practical and business-oriented
Artificial Intelligence SystemsDATA Designer
to join our engineering team. In this role, you will not just design concepts but actively
develop and implement
engineering solutions that drive business value.
Your primary focus will be on the reality of making AI work: ensuring data quality and structure, and overseeing the deployment of these systems into a production environment. You will act as the architect of data-driven projects, bridging the gap between raw data and actionable business results.
Key Responsibilities
Project Implementation:
Lead the end-to-end development of AI engineering projects, from initial system design to final deployment and maintenance.
Data Strategy:
Take ownership of
data quality, cleaning, and structuring . Ensure that the data feeding the systems is reliable, organized, and scalable.
System Design:
Design logical and efficient architectures for processing data and executing automated tasks within a business context.
Business Integration:
Integrate intelligent solutions into existing company workflows and software ecosystems to solve specific business problems.
Performance Optimization:
Monitor system performance and refine data pipelines to ensure efficiency and accuracy.
Documentation:
Create clear technical documentation regarding system architecture and data flow.
Requirements
Experience:
Proven track record in delivering engineering projects or data-intensive software solutions for business.
Data Expertise:
Strong understanding of
data modeling, data structuring, and data quality assurance . You know that good AI starts with good data.
Technical proficiency:
Experience with Python and standard data engineering libraries.
Engineering Mindset:
A focus on building stable, reproducible, and scalable systems rather than just experimental models.
Problem Solving:
Ability to translate business needs into technical specifications and engineering tasks.
Nice to Have
Experience with Cloud infrastructure (AWS, Azure, or Google Cloud).
Knowledge of database management (SQL/NoSQL) and ETL processes.
Background in software architecture or system integration.
What We Offer
Real influence on how we structure and utilize data in our projects.
Flexible working environment.
Opportunity to work on challenging engineering problems with a focus on quality.
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