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Entrylevel Machine Learning Engineer Jobs in Roxana, IL

Diverse Lynx

AI Application Developer

Saint Louis, MO · Remote

... AI Engineer to design, build, and deploy end to end AI solutions using modern machine learning and generative AI techniques. The role involves working hands on with data, models, and production ...

Boeing

Entry-Level Manufacturing Engineer

Berkeley, MO · On-site

Entry-Level Manufacturing Engineer Company: The Boeing Company Boeing Test and Evaluation (BT&E) is ... Synthesis of test hardware & instrumentation requirements in support of machine shop fabrication ...

New

NeuroFore

Be Seen First

Full-Stack Software Developer Intern (2-3months - Remote or Hybrid)

Saint Louis, MO · Remote

$1K - $3K/mo

Integrate existing machine learning models into a web application environment. * Design and ... Interest in healthcare, biomedical engineering, neuroscience, artificial intelligence, or health ...

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Entrylevel Machine Learning Engineer information

See Roxana, IL salary details

$30.2K

$123.5K

$185.6K

How much do entrylevel machine learning engineer jobs pay per year?

As of Jun 3, 2026, the average yearly pay for entrylevel machine learning engineer in Roxana, IL is $123,487.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,300.00 and $148,600.00 per year, depending on experience, location, and employer.

What is the difference between Entrylevel Machine Learning Engineer vs Data Scientist?

AspectEntrylevel Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Math, or related; some knowledge of ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, implements algorithms, collaborates with engineering teamsAnalyzes data, builds statistical models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles involve working with data and algorithms, an Entrylevel Machine Learning Engineer primarily focuses on developing and deploying machine learning models within software systems. In contrast, a Data Scientist emphasizes analyzing data, creating statistical models, and deriving insights. Both roles often require similar educational backgrounds, but their day-to-day tasks and industry applications differ.

What cities near Roxana, IL are hiring for Entrylevel Machine Learning Engineer jobs? Cities near Roxana, IL with the most Entrylevel Machine Learning Engineer job openings:
Entrylevel Machine Learning Engineer jobs near you
AI Application Developer

AI Application Developer

Diverse Lynx

Saint Louis, MO • Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

AI Application Developer

Location - St Louis, MO (Remote)

Job Type: Long Term Contract

Must Have - Machine Learning and Statistical modeling, MS SQL, Python, PyTorch, TensorFlow

We are seeking an experienced AI Application Developer / AI Engineer to design, build, and deploy end to end AI solutions using modern machine learning and generative AI techniques. The role involves working hands on with data, models, and production systems to deliver scalable, reliable AI applications—without reliance on code assist tools such as GitHub Copilot.

Key Responsibilities

  • Design, develop, and deploy end to end AI applications from data ingestion to production inference.
  • Build data pipelines for data preparation, feature engineering, and model training.
  • Select, train, evaluate, and optimize machine learning and deep learning models.
  • Develop APIs and services to expose AI models for real time and batch use cases.
  • Implement monitoring, logging, and model performance tracking in production.
  • Collaborate with product, data, and domain teams to translate business requirements into AI solutions.
  • Ensure AI solutions meet enterprise standards for security, scalability, and responsible AI usage.

Required AI Skill Areas (Core – 4 Skills)

  • Machine Learning & Model Development
  • Strong understanding of supervised and unsupervised learning techniques.
  • Familiarity with evaluation metrics and model validation techniques.
  • Data Engineering & Feature Engineering
  • Hands on experience with data preprocessing, cleaning, and exploratory data analysis.
  • Experience using Python libraries such as Pandas and NumPy, along with SQL.
  • Generative AI / LLM Based Application Development
  • Experience building applications using Large Language Models (LLMs).
  • Experience integrating LLM APIs into enterprise applications.
  • AI System Design, Deployment & MLOps
  • Ability to design scalable AI architectures for training and inference.
  • Experience deploying models as APIs or services (e.g., using FastAPI or Flask).

Technical Skills

  • Strong proficiency in Python
  • Experience with ML/DL frameworks such as PyTorch or TensorFlow
  • Familiarity with REST APIs, microservices, and cloud platforms (GCP)
  • Knowledge of model lifecycle management tools (e.g., MLflow – preferred)

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

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About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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