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Placements24

Open 15d

AI Data Engineer

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Summary

An on-site AI Data Engineer role in Polokwane, South Africa: designing, building, and maintaining scalable data pipelines and infrastructure that feed AI/ML model training, with a focus on data ingestion, transformation, quality, and governance. Core stack includes SQL, Python/Scala, big data tools (Spark, Hadoop, Kafka), and cloud platforms (AWS, Azure, GCP).

About the Role

Our client is looking for a meticulous and skilled AI Data Engineer to join their growing team in Polokwane . You will be responsible for building and maintaining the robust data infrastructure essential for training and deploying advanced AI models. This role requires a deep understanding of data pipelines, large-scale data processing, and data quality assurance to ensure that high-quality, reliable data is readily available for their machine learning initiatives, playing a vital role in enabling the company's AI advancements through efficient data management and engineering practices.

Key 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.

Requirements

  • 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 (e.g., Spark, Hadoop, Kafka).
  • Familiarity with cloud data platforms (AWS, Azure, GCP) and data warehousing concepts.

Benefits

  • Competitive salary and benefits package.
  • Opportunity to work with cutting-edge AI data infrastructure.
  • Comprehensive health coverage.
  • Support for professional development and certifications.
  • A collaborative and innovative team environment.

Skills

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See also

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