Production ML Data Engineer: PySpark & Hadoop Ops

DataJobs

Irving (TX)

On-site

USD 115,000 - 135,000

Full time

8 days ago

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Job summary

DataJobs in Irving, TX is seeking a production-focused AI/ML engineer to build and operationalize model pipelines across on-prem and cloud systems. You will partner with data scientists to turn prototypes into production-ready code using PySpark and Python within a Hadoop environment.

You will deploy and monitor AI/ML models on AWS/GCP, apply MLOps practices, and continuously improve performance, scalability, and user experience. On-site role with a competitive salary of USD 124,560 per year.

Qualifications

Strong experience with PySpark and Python to integrate with AI/ML models.
Understanding of AI/ML models with on-prem and cloud environments.
Familiarity with MLOps/LLMOps and distributed systems.
Experience with big data platforms such as Cloudera Hadoop and cloud platforms such as AWS and GCP.
Solid understanding of system design patterns, scalability, observability, and performance tuning.
Strong analytical and problem-solving skills.
Interest in exploring and building with emerging technologies.

Responsibilities

Partner with data scientists and data engineers to productionize prototypes.
Collaborate with product and engineering to deploy AI/ML models using PySpark.
Productionalize AI/ML models within a Hadoop environment.
Troubleshoot AI/ML models post-implementation.
Monitor model performance and continuously improve efficiency and user experience.