About the role
AI summarisedLead and manage AI projects from ideation to implementation, designing and building large-scale data pipelines and architectures to support advanced AI and machine learning workloads within a manufacturing context.
IDMOnsiteBE
Key Responsibilities
- Lead and manage AI projects from ideation to implementation that contribute to productivity and efficiency gain in manufacturing.
- Design, build, and maintain large-scale data pipelines and architectures to support AI and machine learning workloads.
- Develop and implement data engineering solutions for AI/ML model development, deployment, and monitoring.
- Collaborate with data scientists, domain experts, and stakeholders to identify and prioritize data engineering needs.
- Design, build, and maintain data warehouses, data lakes, and other storage solutions with a focus on data quality and governance.
- Stay current with emerging trends in data engineering and AI, leading the development of best practices to improve capabilities.
Requirements
- Minimum 3-5 years of experience in data engineering, focusing on scalable and efficient data pipelines.
- Bachelor's or Master's degree in Engineering, Computer Science, Data Science, or a related field.
- Strong programming skills in Python, Java, SQL, or R.
- Experience with big data technologies and cloud-based data platforms.
- Knowledge of data science, statistics, and advanced data analytic techniques.
- Strong analytical and problem-solving skills.
- Effective interpersonal and communication skills to manage stakeholders.