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Machine Learning Engineer Jobs in Terre Haute, IN

GE Aerospace

Sr Data Visualization Engineer

Terre Haute, IN · On-site

$108K - $130K/yr

Partner with Talend developers, IT Project managers and functional teams to gather requirements * Conduct analysis and convert business requirements into visual based analytics * Conduct analysis for ...

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Machine Learning Engineer information

See Terre Haute, IN salary details

$30K

$122.5K

$184K

How much do machine learning engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for machine learning engineer in Terre Haute, IN is $122,469.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $147,400.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Terre Haute, IN? The most popular types of Machine Learning Engineer jobs in Terre Haute, IN are:
What are popular job titles related to Machine Learning Engineer jobs in Terre Haute, IN? For Machine Learning Engineer jobs in Terre Haute, IN, the most frequently searched job titles are:
What cities near Terre Haute, IN are hiring for Machine Learning Engineer jobs? Cities near Terre Haute, IN with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Terre Haute, IN as of July 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $122,469 per year, or $58.9 per hour.
Sr Data Visualization Engineer

Sr Data Visualization Engineer

GE Aerospace

Terre Haute, IN • On-site

$108K - $130K/yr

Full-time

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

GE Aerospace rating

8.9

Company rating: 8.9 out of 10

Based on 175 frontline employees who took The Breakroom Quiz

4th of 61 rated aerospace companies

Job description

Job Description Summary
This individual is responsible for developing reporting dashboards to provide global project visibility to milestones from the beginning stages to final plant installation. Scope includes digitizing visualizations and automating manual business processes to provide transparency of project status and risks across the business
Job Description
Roles and Responsibilities
  • Design, develop and implement Spotfire reporting dashboards
  • Partner with Talend developers, IT Project managers and functional teams to gather requirements
  • Conduct analysis and convert business requirements into visual based analytics
  • Conduct analysis for mapping source inputs and assist in design strategy for data modeling
  • Daily maintenance support of dashboards

Education Qualification
  • Bachelor's degree from accredited university or college with minimum of 2 years of professional experience OR Associates degree with minimum of 5 years of professional experience OR High School Diploma with minimum of 7 years of professional experience
  • Note: Military experience is equivalent to professional experience

Eligibility Requirement:
  • Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job.

Desired Characteristics
  • Good aesthetic skills and ability to propose visualizations based on requirements
  • Ability to quickly learn complex source systems and business concepts and convert Key Performance Indicators (KPIs) to technical solutions
  • Ability to implement business logic with advanced Tableau calculations and multiple sources
  • Extensive SQL skills and knowledge in Oracle and Postgres SQL querying
  • Thorough understanding of data normalization & data modelling concepts
  • Knowledge in Tableau server administration including user level access/security, Extract refresh, scheduling etc
  • Excellent written and verbal communication skills
  • Strong, demonstrated commitment to customer satisfaction
  • Familiar with or have practiced Agile Development
  • Experience working with global cross-functional, cross-business teams
  • Ability to think analytically and be an excellent problem solver

This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)).
Additional Information
GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: No

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