ZipRecruiter

Log In

1

Synthetic Data Generation Jobs in Indiana (NOW HIRING)

V2X

Principal Agentic AI Engineer (T5)

Indianapolis, IN · On-site

Experience with high-assurance or safety-critical AI development practices Proficiency in designing AI evaluation frameworks, synthetic data generation, or simulation-based testing * Understanding of ...

V2X

Principal Agentic AI Engineer (T5)

Indianapolis, IN · On-site

Experience with high-assurance or safety-critical AI development practices Proficiency in designing AI evaluation frameworks, synthetic data generation, or simulation-based testing * Understanding of ...

Varsity Tutors

Organic Chemistry 2 Tutor

Indianapolis, IN · Remote

$18 - $40/hr

... generation, and engagement features, helping you save prep time and focus on impactful teaching ... Guides students through designing multistep synthesis routes, predicting regiochemistry and ...

Varsity Tutors

Organic Chemistry 2 Tutor

Valparaiso, IN · Remote

$18 - $40/hr

... generation, and engagement features, helping you save prep time and focus on impactful teaching ... Guides students through designing multistep synthesis routes, predicting regiochemistry and ...

Varsity Tutors

Organic Chemistry 2 Tutor

Bloomington, IN · Remote

$18 - $40/hr

... generation, and engagement features, helping you save prep time and focus on impactful teaching ... Guides students through designing multistep synthesis routes, predicting regiochemistry and ...

next page

Showing results 1-20

All JobsSynthetic Data Generation JobsSynthetic Data Generation Jobs in Indiana

Synthetic Data Generation information

What is synthetic data generation?

Synthetic data generation is the process of creating artificial datasets that mimic real-world data. This technique is used to supplement or replace actual data for purposes such as machine learning, software testing, and research, especially when real data is scarce, sensitive, or costly to obtain. Synthetic data can help improve model accuracy, protect privacy, and enable innovation by providing diverse and unbiased datasets. It is commonly used in fields like healthcare, finance, and autonomous vehicles.

What are the key skills and qualifications needed to thrive in synthetic data generation?

To excel in a Synthetic Data Generation role, you need a solid background in computer science, statistics, and data science, often supported by a relevant degree and experience in machine learning. Familiarity with tools such as Python, TensorFlow, PyTorch, and synthetic data generation platforms, as well as knowledge of privacy-preserving techniques, is typically required. Strong problem-solving abilities, creativity, and effective communication set top performers apart in this field. These skills and qualities are crucial for creating high-quality, realistic synthetic datasets that support robust AI model development while safeguarding sensitive information.

What are the main challenges faced by professionals working in synthetic data generation, and how can they be addressed?

Professionals in synthetic data generation often encounter challenges such as ensuring the generated data accurately represents real-world scenarios while maintaining privacy and data security. Balancing realism with anonymization is crucial, especially when synthetic data is used for AI model training or testing. Collaboration with data scientists, domain experts, and privacy officers is common to validate data utility and compliance with regulations. Staying current with advances in generative models and data validation techniques also helps address these challenges and contributes to career growth in this rapidly evolving field.

What is the difference between Synthetic Data Generation vs Data Analyst?

AspectSynthetic Data GenerationData Analyst
Required CredentialsKnowledge of data science, programming, and data privacyDegree in statistics, data science, or related field
Work EnvironmentData science teams, research labs, tech companiesBusiness environments, analytics teams, consulting firms
Industry UsageAI development, machine learning, data privacyBusiness insights, reporting, decision-making
Search & Comparison IntentUnderstanding data generation techniques, privacy solutionsAnalyzing data, generating reports, insights

While Synthetic Data Generation focuses on creating artificial data for privacy and model training, Data Analysts interpret existing data to provide business insights. Both roles require data-related skills but serve different purposes within the data ecosystem.

What are popular job titles related to Synthetic Data Generation jobs in Indiana?

For Synthetic Data Generation jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Synthetic Data Generation jobs in Indiana look for?

The top searched job categories for Synthetic Data Generation jobs in Indiana are:

What cities in Indiana are hiring for Synthetic Data Generation jobs?

Cities in Indiana with the most Synthetic Data Generation job openings:

Synthetic Data Generation jobs near you

Principal Agentic AI Engineer (T5)

Indianapolis, IN • On-site

V2X
Guided Missile and Space Vehicle Manufacturing • 10K+ employees

9.0

Company rating: 9.0 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

52nd of 450 rated engineering

Great coworkers

People enjoy working here

Good employer

Learn more about V2Xexternal

Full-time

Medical, Life, Retirement, PTO

Posted 4 days ago

Job description

Overview

Working across the globe, V2X builds smart solutions designed to integrate physical and digital infrastructure from base to battlefield. We bring 120 years of successful mission support to improve security, streamline logistics, and enhance readiness. Aligned around a shared purpose, our $3.9B company and 16,000 people work alongside our clients, here and abroad, to tackle their most complex challenges with integrity, respect, responsibility, and professionalism.


Responsibilities

V2X is seeking an accomplished Principal Agentic AI Engineer (T05) to join our Software Department in Indianapolis, Indiana.

 
The ideal candidate embraces modern AIdriven development processes and engineering techniques that accelerate capability delivery, improve mission effectiveness, and enhance team productivity. They have experience designing, building, and integrating advanced agentic systems, including autonomous decision-support frameworks, intelligent mission planning tools, adaptive control systems, multisensor fusion pipelines, and AI-enabled situational awareness technologies. We are looking for engineers who enjoy tackling complex, emerging challenges and have a passion for supporting our DoD customers and international partners.
The Principal Agentic AI Engineer provides technical leadership across the full system development lifecycle, from conceptual architecture and requirements definition through model development, agentic workflow design, simulation, verification, validation, and final deployment. The role requires strong communication skills, collaborative problemsolving, and the ability to translate complex mission needs into practical, advanced AI solutions.

Qualifications

Education Requirements:

  • Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related STEM field.

Required Skills:

  • Must be a U.S. Citizen with the ability to obtain a DoD Secret Clearance
  • At least 12 years of related engineering experience in systems, software, or hardware engineering.
  • Deep expertise in designing and implementing agentic AI architectures and autonomous decision-making systems
  • Strong proficiency in modern machine learning techniques, including model development, evaluation, and optimization
  • Experience building reasoning, planning, and multi-step workflow automation using AI agents
  • Ability to design and evaluate autonomous behaviors, control logic, and adaptive system responses
  • Skilled in developing scalable AI pipelines, simulation frameworks, and experimentation environments
  • Strong understanding of safety, reliability, and assurance considerations for AI-driven systems
  • Proficiency with Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX, LangChain-style orchestration)
  • Ability to translate mission objectives and operational constraints into technical system requirements
  • Experience with data engineering practices including preprocessing, feature extraction, and sensor/mission data handling
  • Strong analytical problem-solving skills and ability to lead complex technical efforts
  • Excellent communication skills for describing AI system behavior, trade-offs, and technical decisions to diverse stakeholders
  • Familiarity with distributed systems, cloud platforms, or edge compute environments for model deployment
  • Ability to guide junior engineers, provide technical mentorship, and set engineering direction
 
Desired Skills:
 
  • Experience developing multi-agent systems or orchestrating large-scale agentic workflows
  • Background in autonomous systems engineering, robotics, or intelligent control
  • Familiarity with reinforcement learning, planning algorithms, or neuro-symbolic techniques
  • Knowledge of mission data pipelines, sensor fusion, or realtime decision-support systems
  • Experience with high-assurance or safety-critical AI development practices
    Proficiency in designing AI evaluation frameworks, synthetic data generation, or simulation-based testing
  • Understanding of humanmachine teaming concepts and explainable AI practices
  • Experience deploying AI models on edge compute platforms or constrained environments
  • Familiarity with model governance, ML Ops, or lifecycle management tools
  • Prior DoD, aerospace, or defense industry experience supporting mission-driven AI solutions
  • Ability to contribute to technical roadmaps, architecture definitions, and long-term AI strategy

Security Clearance and Other Requirements

Ability to access systems with information restricted to U.S. citizens as required by federal contract guidelines.

Eligibility to obtain and maintain a U.S. Department of Defense (DoD) security clearance may be required for certain projects.

#LI-CB2

#clearance

Benefits include the following:

  • Healthcare coverage
  • Retirement plan
  • Life insurance, AD&D, and disability benefits
  • Wellness programs
  • Paid time off, including holidays
  • Learning and Development resources
  • Employee assistance resources

Pay and benefits are subject to change at any time and may be modified at the discretion of the company, consistent with the terms of any applicable compensation or benefit plans.

At V2X, we are deeply committed to both equal employment opportunity, including protection for Veterans and individuals with disabilities, and fostering an inclusive and diverse workplace. We ensure all individuals are treated with fairness, respect, and dignity, recognizing the strength that comes from a workforce rich in diverse experiences, perspectives, and skills. This commitment, aligned with our core Vision and Values of Integrity, Respect, and Responsibility, allows us to leverage differences, encourage innovation, and expand our success in the global marketplace, ultimately enabling us to best serve our clients.

Qualifications:

Education Requirements:

  • Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related STEM field.

Required Skills:

  • Must be a U.S. Citizen with the ability to obtain a DoD Secret Clearance
  • At least 12 years of related engineering experience in systems, software, or hardware engineering.
  • Deep expertise in designing and implementing agentic AI architectures and autonomous decision-making systems
  • Strong proficiency in modern machine learning techniques, including model development, evaluation, and optimization
  • Experience building reasoning, planning, and multi-step workflow automation using AI agents
  • Ability to design and evaluate autonomous behaviors, control logic, and adaptive system responses
  • Skilled in developing scalable AI pipelines, simulation frameworks, and experimentation environments
  • Strong understanding of safety, reliability, and assurance considerations for AI-driven systems
  • Proficiency with Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX, LangChain-style orchestration)
  • Ability to translate mission objectives and operational constraints into technical system requirements
  • Experience with data engineering practices including preprocessing, feature extraction, and sensor/mission data handling
  • Strong analytical problem-solving skills and ability to lead complex technical efforts
  • Excellent communication skills for describing AI system behavior, trade-offs, and technical decisions to diverse stakeholders
  • Familiarity with distributed systems, cloud platforms, or edge compute environments for model deployment
  • Ability to guide junior engineers, provide technical mentorship, and set engineering direction
 
Desired Skills:
 
  • Experience developing multi-agent systems or orchestrating large-scale agentic workflows
  • Background in autonomous systems engineering, robotics, or intelligent control
  • Familiarity with reinforcement learning, planning algorithms, or neuro-symbolic techniques
  • Knowledge of mission data pipelines, sensor fusion, or realtime decision-support systems
  • Experience with high-assurance or safety-critical AI development practices
    Proficiency in designing AI evaluation frameworks, synthetic data generation, or simulation-based testing
  • Understanding of humanmachine teaming concepts and explainable AI practices
  • Experience deploying AI models on edge compute platforms or constrained environments
  • Familiarity with model governance, ML Ops, or lifecycle management tools
  • Prior DoD, aerospace, or defense industry experience supporting mission-driven AI solutions
  • Ability to contribute to technical roadmaps, architecture definitions, and long-term AI strategy

Security Clearance and Other Requirements

Ability to access systems with information restricted to U.S. citizens as required by federal contract guidelines.

Eligibility to obtain and maintain a U.S. Department of Defense (DoD) security clearance may be required for certain projects.

#LI-CB2

#clearance

Benefits include the following:

  • Healthcare coverage
  • Retirement plan
  • Life insurance, AD&D, and disability benefits
  • Wellness programs
  • Paid time off, including holidays
  • Learning and Development resources
  • Employee assistance resources

Pay and benefits are subject to change at any time and may be modified at the discretion of the company, consistent with the terms of any applicable compensation or benefit plans.

At V2X, we are deeply committed to both equal employment opportunity, including protection for Veterans and individuals with disabilities, and fostering an inclusive and diverse workplace. We ensure all individuals are treated with fairness, respect, and dignity, recognizing the strength that comes from a workforce rich in diverse experiences, perspectives, and skills. This commitment, aligned with our core Vision and Values of Integrity, Respect, and Responsibility, allows us to leverage differences, encourage innovation, and expand our success in the global marketplace, ultimately enabling us to best serve our clients.

Education:UNAVAILABLEEmployment Type: FULL_TIME
V2X logo

About V2X

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1945

View All V2X Jobs

What V2X employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply