Sr Data Engineer (ML Knowledge)
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The role
Lead the design, development, and productionization of robust ML-driven data products on large-scale datasets.
Build and maintain data processing pipelines and AI/ML applications using Hadoop, Spark, Hive, and cloud platforms.
Collaborate with stakeholders to translate business needs into analytics solutions while ensuring data privacy and governance.
Mentor engineers, drive delivery across multiple projects, and scale ML initiatives across a global platform.
Advocate for responsible AI, implement testing, documentation, and governance best practices throughout the lifecycle.
Communicate insights with Python, SQL, and visualization tools to enable data-driven decision-making.
Build and maintain data processing pipelines and AI/ML applications using Hadoop, Spark, Hive, and cloud platforms.
Collaborate with stakeholders to translate business needs into analytics solutions while ensuring data privacy and governance.
Mentor engineers, drive delivery across multiple projects, and scale ML initiatives across a global platform.
Advocate for responsible AI, implement testing, documentation, and governance best practices throughout the lifecycle.
Communicate insights with Python, SQL, and visualization tools to enable data-driven decision-making.
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