Key Responsibilities
· Develop, construct, test and maintain architectures such as databases and large-scale processing systems
· Design and implement data models, database structures, and data management systems
· Translate complex functional and technical requirements into detailed design
· Install and update data management tools, ensuring the system is running smoothly
· Implement data flow to connect operational systems, data for analytics and business intelligence (BI) systems
· Ensure architecture supports business requirements · Collaborate with data scientists and architects on several projects
· Develop set processes for data mining, data modeling, and data production
· Resolve issues that arise in data management systems and improve data reliability, efficiency, and quality
· Maintain data security and privacy, adhering to all regulatory compliances Qualifications
· Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
· Proven experience in developing and implementing AI/ML solutions.
· Strong understanding of AI platforms and technologies.
· Good presentation and communication skills.
· Strong problem-solving and analytical skills.
· Ability to work collaboratively in a team environment.
· Up-to-date knowledge of industry trends and advancements in AI/ML and Data Engineering.
Preferred Skills
· Knowledge of cloud-based AI services (e.g., AWS, Google Cloud, Azure).
· Experience with data visualization tools
Bachelor's or Master's degrees