Data Platform Engineer: Pipelines & Insights

About the Role Our client is at the forefront of AI & Emerging Technologies and is actively searching for a skilled Remote AI/ML Data Engineer to join their expanding team. This is a fully remote position, enabling you to contribute to groundbreaking AI projects from anywhere. You will be responsible for designing, building, and maintaining robust data pipelines that fuel our client's advanced machine learning models and AI applications.

The ideal candidate is passionate about data, possesses strong programming skills, and has a deep understanding of the challenges involved in preparing data for machine learning. You will work closely with data scientists and AI researchers to ensure the availability of high-quality, reliable data, enabling them to develop and deploy sophisticated AI solutions. This role requires a proactive approach to data management, a keen eye for detail, and a commitment to enabling data-driven innovation within the organization.

As a remote employee, you will be an integral part of a collaborative team, utilizing modern communication tools to stay connected and drive project success.
Key Responsibilities

• Design, construct, install, test, and maintain highly scalable data management systems.
• Develop and optimize ETL/ELT processes for ingesting, transforming, and loading large datasets.
• Build and manage data lakes and data warehouses optimized for AI/ML workloads.
• Implement data quality checks and monitoring systems to ensure data integrity and accuracy.
• Collaborate with data scientists and ML engineers to understand data requirements and provide relevant datasets.
• Automate data pipeline operations and monitor performance for efficiency.
• Ensure data security and compliance with relevant regulations.
• Work with distributed computing frameworks like Spark and Hadoop.
• Contribute to the selection and implementation of appropriate data technologies and tools.

• Bachelor's degree in Computer Science, Engineering, Information