AI/ML Data Engineer

Placements24; Randburg; On-site; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

Cutting-edge AI/big data tech

Professional development

Randburg office

Job summary

Placements24 is seeking a skilled AI/ML Data Engineer to join the Randburg analytics team. You will design and optimize robust data pipelines that feed AI/ML models, ensuring data quality, accessibility, and cost-efficient storage.

You will collaborate with data scientists and ML engineers, work with large datasets, and contribute to a scalable data infrastructure that supports rapid model development and deployment.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• Proven Data Engineer experience supporting AI/ML initiatives.
• Strong SQL skills and experience with big data technologies (Spark, Hadoop).
• Experience with cloud data platforms (AWS, Azure, GCP) and data warehousing.
• Programming in Python or Scala.

Responsibilities

• Design, construct, install, test, and maintain scalable data management systems.
• Develop and manage ETL/ELT pipelines for AI/ML model training and production.
• Ensure data quality, integrity, and availability for data consumers.
• Collaborate with data scientists and ML engineers to understand data needs and deliver solutions.
• Optimize data storage and processing for performance and cost-efficiency.

Skills

SQL

Python/Scala

Education

Bachelor's degree in CS/Engineering

Tools

Spark

Hadoop

AWS

Azure

GCP

Job description

About the Role

Our client is seeking a skilled AI/ML Data Engineer to join their advanced analytics team in Randburg . This role is crucial for building and optimizing robust data pipelines that feed into AI and machine learning models. You will work with large, complex datasets, ensuring data quality, accessibility, and efficiency for data scientists and ML engineers. The goal is to create a scalable data infrastructure that supports the rapid development and deployment of predictive models and intelligent applications, fostering a culture of data excellence and enabling the organization to leverage data more effectively for strategic decision-making and innovative AI-driven solutions.

Key Responsibilities

• Design, construct, install, test, and maintain highly scalable data management systems.
• Develop and manage ETL/ELT pipelines for AI/ML model training and production.
• Ensure data quality, integrity, and availability for various data consumers.
• Collaborate with data scientists and ML engineers to understand data requirements and deliver solutions.
• Optimize data storage and processing for performance and cost-efficiency.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
• Proven experience as a Data Engineer, with a focus on supporting AI/ML initiatives.
• Strong proficiency in SQL and experience with big data technologies (e.g., Spark, Hadoop).
• Experience with cloud data platforms (AWS, Azure, GCP) and data warehousing solutions.
• Proficiency in at least one programming language like Python or Scala.

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunity to work with cutting-edge AI and big data technologies.
• Collaborative and supportive team environment.
• Professional development and training programs.
• Centrally located office in Randburg .