ML Data Engineer

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

• 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 Py Spark
• 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

• Strong experience with Py Spark 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

• Python
  , Py Spark
• Open Shift
  , Kubernetes
• Hadoop
  , Cloudera Hadoop
• AWS
  , GCP

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

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