AI Data Engineer: Build Scalable AI Pipelines

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

Benefits offered by this job

Competitive salary

AI data infra

Health coverage

Professional development

Collaborative culture

Job summary

Placements24 in Polokwane seeks a meticulous AI Data Engineer to build and maintain robust data infrastructure for training and deploying AI models. You will design scalable pipelines, ingest data from diverse sources, ensure quality, and enable reliable ML workflows in a collaborative team.

The role requires SQL, Python/Scala, big data tools (Spark, Hadoop, Kafka), and cloud platforms (AWS/Azure/GCP). This is an on-site position offering growth, competitive compensation, and health coverage.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
• 3+ years of experience in data engineering, with a focus on AI/ML data pipelines.
• Proficiency in SQL and programming languages like Python or Scala.
• Experience with big data technologies (Spark, Hadoop, Kafka).
• Familiarity with cloud data platforms (AWS, Azure, GCP) and data warehousing concepts.

Responsibilities

• Design, build, and optimize scalable data pipelines for AI/ML workloads.
• Develop processes for data ingestion, transformation, and storage from various sources.
• Ensure data quality, integrity, and availability for machine learning models.
• Collaborate with data scientists and AI researchers to understand data needs.
• Implement data governance and security best practices.

Skills

SQL

Python

Scala

Data pipelines

Big data

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Spark

Hadoop

Kafka

AWS

Azure

GCP

Job description

Placements24 in Polokwane seeks a meticulous AI Data Engineer to build and maintain robust data infrastructure for training and deploying AI models. You will design scalable pipelines, ingest data from diverse sources, ensure quality, and enable reliable ML workflows in a collaborative team.

The role requires SQL, Python/Scala, big data tools (Spark, Hadoop, Kafka), and cloud platforms (AWS/Azure/GCP). This is an on-site position offering growth, competitive compensation, and health coverage.