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Permanent Ran Optimization Engineer Jobs in Missouri

LRS

Sr. Machine Learning Engineer

Kansas City, MO

$130K - $145K/yr

Build optimized data pipelines to feed both traditional ML models and LLM-based systems. Implement ... Candidates must have permanent authorization to work in the United States without sponsorship.

Sonsoft Inc

TeraData Developer

Saint Louis, MO · On-site

In-depth knowledge of Performance tuning and optimization to handle and process large volume of ... This is a Fulltime & Permanent job opportunity. * Only US Citizen , Green Card Holder , GC-EAD , H4 ...

Walmart

(USA) Senior, Software Engineer

Noel, MO

$90K - $180K/yr

Perform deep root cause analysis (RCA) and partner with engineering teams to implement permanent ... optimization Exposure to SRE principles (SLIs, SLOs, error budgets) Experience with chaos ...

Walmart

(USA) Senior, Software Engineer

Anderson, MO

$90K - $180K/yr

Perform deep root cause analysis (RCA) and partner with engineering teams to implement permanent ... optimization Exposure to SRE principles (SLIs, SLOs, error budgets) Experience with chaos ...

Walmart

(USA) Senior, Software Engineer

Cassville, MO

$90K - $180K/yr

Perform deep root cause analysis (RCA) and partner with engineering teams to implement permanent ... optimization Exposure to SRE principles (SLIs, SLOs, error budgets) Experience with chaos ...

Boeing

F-15 Associate Manufacturing Engineer

Berkeley, MO · On-site

$85K - $115K/yr

Ensure production readiness by identifying and mitigating risks, optimizing workflows, and ... National, lawful permanent resident, refugee, or asylee. Safety Sensitive: This is not a Safety ...

Sonsoft Inc

Teradata Consultant

Saint Louis, MO

... optimization to handle and process large volume of data in Teradata Experience in SQL programming ... Note:- 1. This is a Full-Time & Permanent job opportunity for you. 2. Only US Citizen, Green Card ...

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Permanent Ran Optimization Engineer information

What is the difference between Permanent Ran Optimization Engineer vs Radio Network Optimization Engineer?

AspectPermanent Ran Optimization EngineerRadio Network Optimization Engineer
CredentialsBachelor's in Telecommunications, Engineering, or related field; certifications like Nokia, Ericsson, or HuaweiBachelor's in Telecommunications, Electrical Engineering, or related; similar certifications
Work EnvironmentTelecom companies, network providers, field and office settingsTelecom companies, network providers, field and office settings
Industry UsageCommonly employed in telecom industry for permanent network optimization rolesUsed interchangeably in telecom for network performance improvement roles

The Permanent Ran Optimization Engineer and Radio Network Optimization Engineer roles are highly similar, often overlapping in credentials, work environment, and industry usage. The main difference lies in terminology preference, with both focusing on optimizing radio access networks to improve coverage and performance. Both roles are essential in telecom network management and require comparable skills and certifications.

What are the key skills and qualifications needed to thrive as a Permanent RAN Optimization Engineer, and why are they important?

To thrive as a Permanent RAN Optimization Engineer, you need a solid background in telecommunications, RF engineering, and cellular network concepts, often supported by a degree in electrical engineering or a related field. Familiarity with network optimization tools (such as TEMS, Atoll, or Actix), drive test software, and relevant industry certifications (like CCNA or 5G certifications) is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills set top performers apart in this role. These skills and qualifications are crucial for ensuring optimal network performance, efficient troubleshooting, and collaboration across technical teams.

What is a Permanent RAN Optimization Engineer?

A Permanent RAN Optimization Engineer is a telecommunications professional responsible for analyzing and improving the performance of Radio Access Networks (RAN) on a long-term, full-time basis. Their main duties include monitoring network performance, identifying issues, and implementing solutions to optimize signal quality, capacity, and coverage. They work with technologies such as 4G LTE and 5G, using specialized tools to ensure efficient data and voice transmission. These engineers collaborate with other technical teams to enhance user experience and support the rollout of new network features.

How does a Permanent RAN Optimization Engineer typically collaborate with network operations and planning teams?

As a Permanent RAN Optimization Engineer, you’ll regularly collaborate with network operations and planning teams to ensure optimal radio access network (RAN) performance. Your role often involves analyzing network KPIs, sharing insights on coverage or capacity issues, and coordinating technical solutions like parameter tuning or hardware upgrades. Effective communication and cross-functional teamwork are essential, as you'll work together to identify bottlenecks, implement enhancements, and monitor post-optimization results. This collaborative approach helps deliver a high-quality mobile experience for end users.
What are popular job titles related to Permanent Ran Optimization Engineer jobs in Missouri? For Permanent Ran Optimization Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Permanent Ran Optimization Engineer jobs in Missouri look for? The top searched job categories for Permanent Ran Optimization Engineer jobs in Missouri are:
What cities in Missouri are hiring for Permanent Ran Optimization Engineer jobs? Cities in Missouri with the most Permanent Ran Optimization Engineer job openings:
Permanent Ran Optimization Engineer jobs near you

Sr. Machine Learning Engineer

LRS

Kansas City, MO

$130K - $145K/yr

Other

Posted 5 days ago

Job description

Job Description LRS Consulting is seeking a Senior Machine Learning Engineer to design, build, and scale production-grade machine learning and Generative AI systems. This role focuses on developing advanced ML and LLM-powered applications that leverage structured and unstructured data to drive business impact. The ideal candidate combines strong foundations in traditional machine learning with hands-on experience building and deploying LLM solutions and prompt-engineered systems in production environments.

Responsibilities Design and develop ML and LLM-powered systems using modern GenAI architectures (RAG, prompt engineering, embeddings, vector databases). Transform data science prototypes into production-ready solutions using appropriate ML and GenAI architectures. Build optimized data pipelines to feed both traditional ML models and LLM-based systems.

Implement and monitor model and data quality checks to ensure accuracy and consistency in production. Manage the full model lifecycle, including retraining, performance monitoring, and continuous improvement. Partner with Product, Engineering, and Business stakeholders to translate requirements into scalable AI/ML solutions, contributing to system architecture and technical design.

Create and maintain documentation for ML and GenAI systems, including prompt libraries, evaluation frameworks, and architectural decisions. Establish and promote best practices across MLOps, LLMOps, and AI system governance. Required Qualifications 5+ years of experience as a Machine Learning Engineer, including work with structured and unstructured data sources, ETL processes, and data quality management.

Proficiency in SQL, Databricks, AWS services, Python, and Spark. Experience with ML frameworks such as XGBoost, Scikit-learn, TensorFlow, Keras, or PyTorch. Hands-on experience building and deploying LLM-powered applications, including prompt engineering, evaluation frameworks, RAG, and embedding models/vector databases.

Familiarity with MLOps and/or LLMOps tooling and CI/CD workflows. Strong analytical and problem-solving skills with the ability to communicate technical concepts and business impact to non-technical stakeholders. Candidates must have permanent authorization to work in the United States without sponsorship.

Third party candidates will not be considered. The base range for this salaried position is $130,000 - $145,000, depending on experience. Our pay ranges are determined by role, level, and location.

The range displayed reflects the minimum and maximum target for new hires of this position across all U.S. locations. Individual compensation is determined by work location and additional factors, including job-related skills, experience, and relevant education or training

LRS is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship, status or protected veteran status. In some cases, LRS Consulting uses generative artificial intelligence ("AI") in support of our hiring processes.

LRS takes steps to ensure the use of AI does not result in discrimination based on protected class(es). AI may be used in the hiring process solely in support of the assessment of candidate qualifications. All decisions in the hiring process are made by LRS employees.

If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out. Please contact AI.Questions@lrs.com with any questions.

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