ML Data Engineer
Listed on 2026-10-10
-
IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations
Irving, Texas 75014 Posted October 8th, 2026
We are looking for a highly skilled and passionate Data Engineer with strong Python/PySpark experience and
understanding of AL/ML models to implement AL/ML models in OnPrem and Cloud environment.
In this role, you will be responsible for implementing AL/ML Models in different environments leveraging
Responsibilities:
Work with data scientists/data engineers to translate prototypes and theoretical models into functional,
production ready code.
Collaborate with product and engineering team to implement AI/ML models using PySpark.
Understanding of AI/ML and large language models (LLMs).
Work on productionalize the AL/ML model in Hadoop environment.
Troubleshoot AI/ML Models post implementation to resolve issue raised by users.
Monitor model performance and continuously improve efficiency, accuracy, and user experience.
Qualifications:
Strong experience in PySpark and Python to integrate with AI/ML Models.
Understanding of AI/ML Models and how they interface with OnPrem and Cloud environments.
Familiarity with ML Ops/LLM Ops and distributed systems.
Experience with Big Data platform like Cloudera Hadoop and Could platforms like AWS, GCP.
Solid understanding of system design patterns, scalability, observability, and performance tuning.
Strong analytical and problem-solving skills.
Passion for exploring and building with emerging technologies.
Required Skills Job Type: Full Time Job Category: ITJob DescriptionJob Title: ML Data Engineer
Location: Irving, TX
Full Time
Job Description
Roles & Responsibilities
Job Title: Data Engineer
-ML
Job Description:
We are looking for a highly skilled and passionate Data Engineer with strong Python/PySpark experience and
understanding of AL/ML models to implement AL/ML models in OnPrem and Cloud environment.
In this role, you will be responsible for implementing AL/ML Models in different environments leveraging
Openshift/Kubernetics.
Responsibilities:
Work with data scientists/data engineers to translate prototypes and theoretical models into functional,
production ready code.
Collaborate with product and engineering team to implement AI/ML models using PySpark.
Understanding of AI/ML and large language models (LLMs).
Work on productionalize the AL/ML model in Hadoop environment.
Troubleshoot AI/ML Models post implementation to resolve issue raised by users.
Monitor model performance and continuously improve efficiency, accuracy, and user experience.
Qualifications:
Strong experience in PySpark and Python to integrate with AI/ML Models.
Understanding of AI/ML Models and how they interface with OnPrem and Cloud environments.
Familiarity with ML Ops/LLM Ops and distributed systems.
Experience with Big Data platform like Cloudera Hadoop and Could platforms like AWS, GCP.
Solid understanding of system design patterns, scalability, observability, and performance tuning.
Strong analytical and problem-solving skills.
Passion for exploring and building with emerging technologies.
Required SkillsDev Ops Engineer Senior Email Security Engineer
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