ML Data Engineer

This role focuses on building and operationalizing AI/ML model pipelines across on-prem and cloud systems.

Responsibilities

• Partner with data scientists and data engineers to convert prototypes and theoretical work into production-ready code
• Collaborate with product and engineering teams to implement AI/ML models using PySpark
• Productionalize AI/ML models within a Hadoop environment
• Troubleshoot AI/ML models after implementation to address issues raised by users
• Monitor model performance and continuously improve efficiency, accuracy, and user experience

Requirements

• Strong experience with PySpark and Python to integrate with AI/ML models
• Understanding of AI/ML models and how they integrate 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

Tech Stack

• Python, PySpark
• OpenShift, Kubernetes
• Hadoop, Cloudera Hadoop
• AWS, GCP

Location & Compensation

• Location: Irving, TX (onsite)
• Salary: USD 124,560 per year

Note: The structured data lists additional required skills as “DevOps Engineer Senior Email Security Engineer,” but no further details are provided.