ML Data Engineer
Artificial Intelligence
Big Data
Bigdata
Cloud
Cloud Infrastructure
Cloud Native
Cloud Operations
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Cloud Technology
Data Analysis
Data Engineer
Data Pipeline
Data Platform
Data Processing
Data Science
Database
DevOps
DevSecOps
Engineering
Engineering Software
Google Cloud
Hadoop
Information Technology (IT)
Kubernetes
Machine Learning Engineer
OpenShift
Platform Engineering
Programming Language
Programming Languages
Pyspark
Spark
Job Description
Realign LLC is hiring an ML Data Engineer in Irving, TX to help translate AI/ML prototypes into production systems across on-prem and cloud environments.
Responsibilities
- Partner with data scientists and data engineers to convert prototypes and theoretical approaches 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 how AI/ML models interface 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 including AWS and 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
Technology Stack
- Python
- PySpark
- OpenShift
- Kubernetes
- Hadoop
- Cloudera Hadoop
- AWS
- GCP
Role Location and Compensation
- Location: Irving, TX (onsite)
- Salary: USD 124,560 per year
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