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Applied Ai Engineer Jobs in Indiana (NOW HIRING)

Varsity Tutors

Applied Mathematics Tutor

Valparaiso, IN · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... engineering, physics, finance, and computational science applications. * Conceptual Teaching ...

Accenture

Senior Agentic Identity Security Manager

Carmel, IN · On-site

$113K - $155K/yr

This role sits at the intersection of identity engineering and applied AI security. Although no two days at Accenture are the same, your duties as Identity & Access Management (I&AM) Security Manager ...

K1X

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

... AI-driven capabilities, data engineering is becoming a foundational pillar of our product and ... It's Truly a Match If You Have - An engineering mindset applied to data platforms. - Passion for ...

K1X

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

... AI-driven capabilities, data engineering is becoming a foundational pillar of our product and ... It's Truly a Match If You Have - An engineering mindset applied to data platforms. - Passion for ...

inKind

Data Engineer

Austin, IN

$135K - $155K/yr

Ensure implemented data and AI systems have relevant security, privacy, and data-governance ... Bachelor's degree in Computer Science, Applied Mathematics, Engineering, or any other technology ...

RR

Health Data Science/AI Associate

Indianapolis, IN · On-site

$56K - $56K/yr

Data Engineering * Statistics * Information Science * Applied Mathematics * Related quantitative ... AI, or data science. * Basic proficiency with SQL, Python, or another programming language.

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All JobsApplied Ai Engineer JobsApplied Ai Engineer Jobs in Indiana

Applied Ai Engineer information

What are the key skills and qualifications needed to thrive as an applied AI engineer?

To thrive as an Applied AI Engineer, you need strong proficiency in programming (especially Python), machine learning algorithms, statistics, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of data management tools are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex models into real-world solutions and collaborate across disciplines. These competencies ensure you can effectively develop, deploy, and maintain AI systems that drive business value.

What are some common challenges applied AI engineers face when deploying AI models into production environments?

Applied AI Engineers often encounter challenges such as ensuring models perform consistently on real-world data, optimizing models for speed and scalability, and integrating AI solutions with existing systems. Managing data privacy, monitoring for model drift, and maintaining robust documentation are also key concerns. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges effectively and deliver reliable AI-driven solutions.

What is the difference between Applied Ai Engineer vs Data Scientist?

AspectApplied Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys AI models in production environmentsAnalyzes data to extract insights and build predictive models
Industry UsageUsed in tech, healthcare, finance for deploying AI solutionsUsed across industries for data analysis and modeling

Applied Ai Engineers focus on implementing and deploying AI models in real-world applications, while Data Scientists primarily analyze data to generate insights and build predictive models. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

How much does an applied AI engineer make?

An applied AI engineer's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

What does an applied AI engineer do?

An applied AI engineer develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with data, machine learning frameworks, and programming languages like Python or TensorFlow to create practical AI solutions for businesses or products.

What are popular job titles related to Applied Ai Engineer jobs in Indiana?

For Applied Ai Engineer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Applied Ai Engineer jobs in Indiana look for?

The top searched job categories for Applied Ai Engineer jobs in Indiana are:

What cities in Indiana are hiring for Applied Ai Engineer jobs?

Cities in Indiana with the most Applied Ai Engineer job openings:

Applied Ai Engineer jobs near you
Infographic showing various Applied Ai Engineer job openings in Indiana as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution.

Applied Mathematics Tutor

Varsity Tutors

Valparaiso, IN • Remote

$18 - $40/hr

Part-time

Re-posted 16 days ago

Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 24 rated private schools and tutoring

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Applied Mathematics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Applied Mathematics Tutor
  • Advanced Subject Mastery: Deep knowledge of differential equations, numerical methods, linear algebra applications, optimization, mathematical modeling, Fourier analysis, partial differential equations, and complex analysis. Ability to explain modeling techniques for physical systems, approximation methods, and stability analysis while preparing students for engineering, physics, finance, and computational science applications.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down mathematical model construction, numerical solution algorithms, and optimization procedures. Guides students through formulating real-world problems mathematically, implementing iterative solution methods, and interpreting computational results. Emphasizes bridging pure mathematics with practical applications, connecting theory to fluid dynamics, signal processing, and operations research contexts.
  • Curriculum Awareness & Adaptive Instruction: Familiar with applied mathematics curricula and common challenges such as translating physical problems into mathematical formulations, implementing numerical algorithms, and validating model accuracy. Adapts instruction using computational tools like MATLAB and Python, real-world case studies, and project-based learning to support advanced undergraduates and graduate students in STEM fields.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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