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Ai Optimization Jobs in Indiana (NOW HIRING)

Deloitte

Oracle Gen AI Manager

Indianapolis, IN · On-site

Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model optimization * Collaborate with stakeholders, mentor delivery teams, lead technical reviews, and ...

Elevance Health

AI Solutions Engineer Lead

Indianapolis, IN · Hybrid

$98K - $129K/yr

Improve AI output quality through prompt optimization and model tuning. * Maintains active relationships with customers to determine business requirements, leads requirements gathering meetings and ...

Elevance Health

AI Solutions Engineer Lead

Indianapolis, IN · Hybrid

$97K - $129K/yr

Improve AI output quality through prompt optimization and model tuning. * Maintains active relationships with customers to determine business requirements, leads requirements gathering meetings and ...

Circle

... optimization and transformation discipline to the effort. * Help build GRM into an AI-native organization whose core processes are led by agents, with people focused on judgment, exceptions, and ...

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Ai Optimization information

What are common challenges faced by professionals in AI optimization roles, and how can they be overcome?

Professionals in AI Optimization often encounter challenges such as balancing model accuracy with computational efficiency, handling large and complex datasets, and staying updated with rapidly evolving algorithms. To overcome these, it's important to collaborate closely with data engineers and domain experts, utilize scalable computing resources, and continuously invest in learning new optimization techniques. Participating in knowledge-sharing forums and leveraging open-source tools can also help address these challenges effectively.

What are the key skills and qualifications needed to thrive as an AI optimization specialist, and why are they important?

To thrive as an AI Optimization Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by a degree in a related field. Proficiency with programming languages like Python, optimization frameworks (such as TensorFlow or PyTorch), and knowledge of cloud platforms are typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable solutions. These skills ensure the development of efficient, scalable AI models that drive business value and innovation.

What is the difference between Ai Optimization vs Data Scientist?

AspectAi OptimizationData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI-focused teams, R&D departmentsResearch institutions, tech firms, finance, healthcare
Employer & Industry UsagePrimarily in AI development, machine learning optimization projectsData analysis, predictive modeling, data-driven decision making

Ai Optimization specialists focus on enhancing AI models' performance and efficiency, often working on machine learning algorithms and deployment. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and knowledge of data and algorithms, Ai Optimization is more specialized in refining AI systems, whereas Data Scientists have a broader scope in data analysis and interpretation.

What is AI optimization?

AI optimization involves developing and applying algorithms to improve the performance, efficiency, or accuracy of artificial intelligence systems. AI optimization specialists often work with machine learning models, tuning parameters, and using tools like Python or TensorFlow to enhance AI capabilities. Strong analytical skills and knowledge of optimization techniques are essential for this role.

Which AI Optimization job is highly paid?

Senior AI Optimization engineers and machine learning engineers specializing in AI model efficiency and deployment tend to have the highest salaries in the field. These roles often require advanced skills in deep learning, programming, and data analysis, and they typically command higher compensation due to their technical complexity and impact on business performance.

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

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

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

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

What cities in Indiana are hiring for Ai Optimization jobs?

Cities in Indiana with the most Ai Optimization job openings:

Ai Optimization jobs near you
Infographic showing various Ai Optimization job openings in Indiana as of August 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 63% Physical, 5% Hybrid, and 32% Remote job distribution.

Postdoctoral Research Associate - AI-Driven Software & Systems Research

Purdue University

Indianapolis, IN • On-site

$50K - $60K/yr

Full-time

Re-posted 7 days ago

Key responsibilities

  • Conduct research aligned with ISC's strategic directions in AI-driven software and systems.

  • Publish research findings in top-tier conferences and journals.

  • Collaborate with faculty, students, and industry partners on research initiatives.

Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

316th of 629 rated colleges and universities

Job description

Postdoctoral Research Associate - AI-Driven Software & Systems Research
City: Indianapolis
Job Description:
Overview
Postdoctoral Research Associate Positions
AI-Driven Software & Systems Research
The newly established Intelligent Software & Systems Center (ISC) in the College of Engineering at Purdue University invites applications for a Postdoctoral Research Associate position in the broad area of AI-driven software and systems research. These are highly collaborative positions offering the opportunity to help shape a new interdisciplinary research center at one of the nation's leading engineering institutions.
The appointments are expected to begin in Fall 2026 and are initially for 2 years, with possible extension depending on performance and funding availability.
VISION
Position Purdue as a national leader in AI-driven software and systems research spanning edge computing, cloud and distributed systems, high-performance computing (HPC), autonomous software infrastructures, and AI-enabled engineering systems.
RESEARCH AREAS
Area 1 - AI for Programming Systems
Research topics include AI-assisted compilation and optimization, intelligent runtime systems, code generation and transformation, HPC, parallel and distributed computing, compiler infrastructures, heterogeneous systems, and autonomous system optimization.
Desired expertise includes compilers, runtime systems, programming languages, HPC, systems for AI/ML, performance optimization, and distributed systems.
Area 2 - AI for Software Engineering
Research topics include AI-assisted software development, intelligent software architecture and design, automated testing and verification, code generation and repair, DevOps and deployment
automation, software maintenance and evolution, software reliability and security, and self-adaptive software systems.
Desired expertise includes software engineering, AI for SE, software architecture, testing and QA, DevOps, software security, software analytics, program analysis, and automated software engineering.
About ISC
ISC is a newly founded research center within the College of Engineering at Purdue University. The center aims to pioneer the next generation of intelligent software systems that are adaptive, efficient, trustworthy, and capable of continuous self-improvement.
ISC will serve as a cross-disciplinary hub connecting researchers in Electrical and Computer Engineering, Computer Science, Industrial Engineering, Artificial Intelligence, High-Performance Computing, and related areas to accelerate innovation in intelligent software technologies.
Responsibilities
• Conduct cutting-edge research aligned with ISC's strategic directions
• Publish in top-tier conferences and journals
• Collaborate with faculty, students, and industry partners
• Contribute to interdisciplinary research initiatives
• Help coordinate research activities and community-building efforts within ISC
• Assist with proposal development and collaborative projects
• Mentor graduate and undergraduate students
Compensation and Benefits
• Competitive salary: $50,000-$60,000/year plus benefits
• Full Purdue employee benefits package
• Professional travel support for conferences and collaborations
• Access to Purdue's advanced computing and research infrastructure
• Opportunities for collaboration across Purdue's West Lafayette and Indianapolis campuses
Location
The position spans Purdue's two rapidly growing Indiana campuses:
West Lafayette, Indiana - Home to Purdue's flagship campus and internationally recognized engineering and computing programs.
Indianapolis, Indiana - A vibrant urban innovation hub with strong connections to industry, healthcare, advanced manufacturing, and technology ecosystems.
Postdoctoral researchers will have workspace access at both locations and may choose one campus as their primary workplace while collaborating regularly with researchers at the other campus.
Qualifications
Applicants should have:
• A Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field by the start date
• Strong publication record or demonstrated research potential
• Excellent communication and collaboration skills
• Ability to work in interdisciplinary environments
Application Materials
Interested applicants should submit:
1. Curriculum Vitae (CV)
2. Research statement
3. Representative publications
4. Contact information for 2-3 references
Applications will be reviewed on a rolling basis until the positions are filled.
For inquiries, please contact: Xipeng Shen (shen810@purdue.edu)

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