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Entry Level Ran Optimization Engineer Jobs in Chicago, IL

Darwill, Inc.

Machine Learning Engineer

Villa Park, IL · On-site

This is not an entry-level position, and it is not a principal or architect-level role.. Location ... Strong SQL skills (complex queries, joins, window functions, optimization) * Experience building ...

Allied

Software Engineering Apprentice

Chicago, IL · On-site +1

$25 - $30/hr

POSITION SUMMARY The Software Engineering Apprentice will support the configuration, optimization, and maintenance of a low-code/no-code platform used to build and enhance applications that support ...

Arcadis

PMIS Developer

Chicago, IL · On-site

They are seeking a PMIS Developer to support the PMIS Implementation Team for major infrastructure ... and optimal performance. • Troubleshoot technical issues, respond to support requests, and ...

Adidev Technologies

IOS Developer

Des Plaines, IL · On-site

$30 - $45/hr

... for entry-level and mid-level iOS developers with 1 year - to 3 years of experience. Must be a ... As an iOS developer for Adidev Technologies, you will be optimizing, building, and troubleshooting ...

Adidev Technologies Inc

IOS Developer

Des Plaines, IL · On-site

... for entry-level and mid-level iOS developers with 1 year - to 3 years of experience. Must be a ... As an iOS developer for Adidev Technologies, you will be optimizing, building, and troubleshooting ...

Adidev Technologies Inc

IOS Developer

Des Plaines, IL · On-site

$30 - $45/hr

... for entry-level and mid-level iOS developers with 1 year - to 3 years of experience. Must be a ... As an iOS developer for Adidev Technologies, you will be optimizing, building, and troubleshooting ...

Lyric

Product Training Associate (Technical)

Chicago, IL · On-site

$80K - $90K/yr

Out-of-the-box AI solutions for optimizing networks, allocating inventory, scheduling routes ... engineering, and we need builders and educators to help us get there. This is an entry-level role ...

Alphabe Insight Inc

Back-end associate

Chicago, IL

$60K - $70K/yr

We are seeking a motivated Entry Level Back-End Associate to join our growing technical team in ... You will work closely with developers, analysts, and project stakeholders to support and enhance ...

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All JobsEntry Level Ran Optimization Engineer JobsEntry Level Ran Optimization Engineer Jobs in Chicago, IL

Entry Level Ran Optimization Engineer information

See Chicago, IL salary details

$30.9K

$71.5K

$121.6K

How much do entry level ran optimization engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for entry level ran optimization engineer in Chicago, IL is $71,453.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,100.00 and $80,900.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Ran Optimization Engineer vs Network Optimization Technician?

AspectEntry Level Ran Optimization EngineerNetwork Optimization Technician
CredentialsBachelor's in Telecommunications, Electrical Engineering, or related fieldAssociate's or Bachelor's in Networking, Telecommunications, or related field
Work EnvironmentTelecom companies, network providers, field and office settingsTelecom companies, network service providers, field and lab environments
Industry UsageCommonly used in mobile network planning and optimizationUsed in maintaining and troubleshooting network performance

Entry Level Ran Optimization Engineers focus on optimizing radio access network parameters to improve coverage and capacity, often working with LTE/5G networks. Network Optimization Technicians handle network performance issues, troubleshooting, and maintenance. While both roles require telecommunications knowledge, the Engineer role emphasizes planning and optimization, whereas Technicians focus on operational support and problem resolution.

What are the most commonly searched types of Ran Optimization Engineer jobs in Chicago, IL? The most popular types of Ran Optimization Engineer jobs in Chicago, IL are:
What are popular job titles related to Entry Level Ran Optimization Engineer jobs in Chicago, IL? For Entry Level Ran Optimization Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Entry Level Ran Optimization Engineer jobs in Chicago, IL look for? The top searched job categories for Entry Level Ran Optimization Engineer jobs in Chicago, IL are:
Entry Level Ran Optimization Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

Darwill, Inc.

Oakbrook Terrace, IL • On-site

Full-time

Posted yesterday

Job description

MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING)
Overview
Darwill is a nationally recognized print and marketing communications firm based in the west suburbs of Chicago. As a premier provider of complex, data-driven marketing solutions, we help CMOs and marketing leaders drive measurable performance through advanced analytics, automation, and AI-powered insights.
We are seeking a Machine Learning Engineer (MLOps) to support the productionization of traditional machine learning models (e.g., propensity and segmentation models) while also building and maintaining the core data pipelines on Databricks that power our analytics and modeling platforms.
This role is intentionally scoped for a mid-level engineer: someone with enough experience to work independently and make sound engineering decisions, but who is still hands-on, execution-focused, and eager to grow. This is not an entry-level position, and it is not a principal or architect-level role..
Location
Chicago, IL area (Oak Brook / West Suburbs)
Hybrid work model with 1-2 days onsite per week required
Reports To
VP of Data Engineering & Data Science
Responsibilities / Essential Functions
Data Engineering & Platform Foundations
  • Design, build, and maintain ETL pipelines in Databricks using Spark and Delta Lake
  • Independently implement data transformations, joins, and aggregations across large, multi-source datasets
  • Build and maintain data validation and quality checks to ensure reliability of downstream analytics and ML workflows
  • Optimize Databricks jobs for performance, scalability, and cost efficiency
  • Write and maintain clear technical documentation for data pipelines and tables

ML Engineering & MLOps
  • Partner closely with Data Scientists to support traditional ML model development, including feature engineering, training, validation, and deployment
  • Productionize propensity, ranking, and segmentation models used in large-scale marketing campaigns
  • Build and maintain repeatable ML pipelines for training, batch scoring, and inference
  • Implement model versioning, experiment tracking, and reproducibility standards
  • Support model performance monitoring, drift detection, and retraining cycles

Deployment, Monitoring & Operations
  • Deploy data pipelines and ML workflows into production environments serving millions of records
  • Implement monitoring and alerting for data and ML pipelines
  • Support A/B testing and model performance evaluation in partnership with Data Science
  • Troubleshoot production issues independently and collaborate effectively when escalation is needed

GenAI (Secondary / Directional)
  • Contribute to GenAI initiatives as capacity allows
  • Stay informed on emerging AI technologies and tooling
    (GenAI is not the primary focus of this role today.)

Required Qualifications
Experience
  • 3-6 years of professional experience in machine learning engineering, data engineering, or a closely related role
  • Experience working in production environments with minimal day-to-day supervision
  • Demonstrated ability to collaborate effectively with Data Scientists and translate models into production systems

Technical Skills (Must-Have)
Data Engineering & Platform
  • Apache Spark (PySpark, SparkSQL)
  • Databricks (ETL pipelines, workflows, Delta Lake)
  • Strong SQL skills (complex queries, joins, window functions, optimization)
  • Experience building and maintaining scalable data pipelines

Programming & Machine Learning
  • Python (pandas, numpy, scikit-learn; experience with XGBoost or LightGBM preferred)
  • Feature engineering and data preparation for ML models
  • Working knowledge of supervised learning models (classification, regression, ranking)

MLOps & Production
  • Experience deploying ML models into production
  • Model versioning and experiment tracking (e.g., MLflow or similar)
  • Monitoring data quality and model performance in production
  • Supporting retraining and validation workflows

Cloud & Tooling
  • Experience with a major cloud platform (Databrick, AWS)
  • Familiarity with workflow orchestration tools (Databricks Workflows or similar)

Preferred Qualifications (Nice-to-Have)
  • Experience with propensity modeling, customer segmentation, or marketing analytics
  • Exposure to CI/CD concepts for data and ML pipelines
  • Experience with Docker or containerized deployments
  • Exposure to GenAI, LLMs, or RAG-based systems
  • Master's degree in Computer Science, Statistics, or a related field

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