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# 5G RAN Machine Learning Engineer

- **Company:** Avacend Inc
- **Location:** Plano, United States
- **Experience:** Expert
- **Salary:** $145,600.0
- **Contract:** Temporary contract
- **Skills:** 4G (Telecommunication), LTE (Telecommunication), Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Microsoft Azure, Big Data, Network Analysis, Cluster Analysis, Computer Programming, Information Engineering, Linux, Apache Hadoop, Python (Programming Language), Machine Learning, SQL Databases, Wireless Networks, Google Cloud, 5G NR, Snowflake, Random Forest, Apache Spark, Git, Pyspark, Kubernetes, Data Analytics, Machine Learning Operations, Software Version Control, Docker, Databricks
- **Published:** July 21, 2026
- **Apply:** https://www.dice.com/job-detail/5066ce37-6b25-4aee-8697-6f1c642a2dac

## About the Role

* 7+ years of experience in Data Science, Machine Learning, Data Analytics, or Data Engineering
 * Strong programming skills in Python, SQL, and Spark/PySpark
 * Experience with Machine Learning, Predictive Modeling, and Statistical Analysis
 * Strong knowledge of Data Modeling and handling large datasets
 * Experience with cloud platforms such as AWS, Azure, Google Cloud Platform, Databricks, or Snowflake
 * Experience with Linux and Git-based version control
 * Excellent analytical and communication skills

Preferred Qualifications

 * Experience in 4G LTE, 5G NR, RAN, RF, OSS, or Wireless Network Performance
 * Knowledge of telecom KPIs/KQIs and network analytics
 * Experience with MLOps, MLflow, Docker, Kubernetes, or Hadoop ecosystems
 * Familiarity with Time Series Forecasting, Decision Trees, Random Forest, Neural Networks, Clustering, PCA, and Regression Models

## Description

We are seeking a Senior 5G RAN Machine Learning Engineer to join a high-performing wireless network analytics team. The ideal candidate will have strong expertise in Machine Learning, Data Science, Python, Spark, and Telecom (4G/5G RAN) to develop predictive models, analyze large-scale network performance data, and support AI-driven decision-making., * Develop and deploy Machine Learning models for wireless network performance analysis

 * Analyze large-scale telecom datasets to identify trends and performance issues
 * Build predictive analytics models and automation solutions
 * Collaborate with RF, Network, and Data Science teams
 * Create dashboards and visualizations to communicate business insights
 * Support AI-driven optimization of 4G/5G network performance

Preferred BackgroundCandidates with experience supporting wireless carriers or telecom equipment providers such as Ericsson, Nokia, Mavenir, Verizon, AT&T, T-Mobile, DISH, Qualcomm, or similar environments are highly encouraged to apply.


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