Roles & Responsibilities
Your Mission
This position will be responsible for leading a team of engineers in developing and deploying intelligent systems and environments (IoT, MLOps, Visualization, and Simulations) that drive productivity, quality, logistics, and manufacturing advancements within the cutting-edge, software-defined factory. This leader will be a key contributor to the Technology Innovation Group, ensuring the team's work aligns with Hyundai Motor Group's vision.
What To Expect
[At-Scale Deployment of Digital Systems]
- Evaluate and define requirements for deploying IoT, AI and simulation technologies at scale.
- Leverage cloud platforms (AWS, Azure, GCP) and on-premise solutions for secure and scalable deployments.
[Solution Design and Architecture]
Architect solutions integrating IoT platforms (e.g., Thingworx, Kepware) with public / private cloud infrastructure.Incorporate AI, MLOps, LLMOps, and simulation tools like Nvidia Omniverse to create intelligent systems.[Enterprise Data Architecture]
Provide abstract representations of organizational data needs and design comprehensive data management strategies.Develop architectures for data lakes, warehouses, and marts to unify data assets for analytics.[Data Governance and Security]
Implement governance policies ensuring compliance with regulations (e.g., GDPR).Establish robust data quality control measures to maintain accuracy and accessibility.[Technical Leadership]
Lead cross-functional teams of developers, database administrators, and engineers.Act as a liaison between digital transformation teams and IoT / data engineers to align technical efforts with business goals.[Project Management]
Assess existing systems for weaknesses and identify skill sets, manpower, and timelines necessary for successful implementation.Oversee development while ensuring ongoing system maintenanceWhat You'll Bring
Bachelor's Degree in Computer Science, Information Technology or relevant disciplinesAt least 13 years of experience in IT / OT Systems, data architecture and technologiesProficiency in programming languages such as Python, SQL, Java, and C++Deep understanding of database management systems and data modeling techniquesExperience with Big Data technologies, cloud computing platforms, and data analytics toolsStrong project management and time management abilitiesExcellent communication skills to collaborate with various stakeholdersDevelop data pipeline processes to move data from OLTP to OLAP systemsFamiliarity with SCADA and proficiency in standard communication protocolsTechnical skills in Docker, CI / CD Pipeline, C#, Java, Spring Boot, Vue.js, React.jsTell employers what skills you have
Azure
Big Data
Architect
Data Management
Data Governance
SQL
Python
Data Architecture
Docker
Java
Technical Leadership
C#
Accessibility
Data Analytics
C++