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Machine Learning Contract Jobs in Indianapolis, IN

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How much do machine learning contract jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for machine learning contract in Indianapolis, IN is $21.81, according to ZipRecruiter salary data. Most workers in this role earn between $18.85 and $24.38 per hour, depending on experience, location, and employer.

What is a machine learning contract?

A Machine Learning Contract job is a temporary or project-based role where professionals develop and implement machine learning models for a company. Contractors may work on tasks such as data preprocessing, model training, evaluation, and deployment. These roles are often remote or short-term, allowing companies to hire expertise for specific projects without long-term commitments.

What are the typical responsibilities and workflow for a machine learning contract?

As a Machine Learning Contract professional, you’ll often be brought in to design, build, and deploy machine learning models tailored to a client’s specific challenges, ranging from data preprocessing and exploratory analysis to model selection and performance tuning. You may also be responsible for documenting your work, presenting results to stakeholders, and advising on best practices for model integration. Contract positions frequently involve collaborating remotely with cross-functional teams and meeting project milestones within set timelines. This role is ideal for those who enjoy variety, autonomy, and leveraging their expertise across different industries and datasets.

What are the key skills and qualifications needed to thrive in a machine learning contract, and why are they important?

To thrive as a Machine Learning Contract professional, you need a solid background in programming (Python, R), data analysis, and machine learning algorithms, usually supported by a relevant degree in computer science or a related field. Familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as experience with cloud platforms like AWS or Azure, is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills in contract-based roles. These competencies are crucial for efficiently delivering project-based solutions, collaborating with clients, and staying adaptable to varied organizational needs.

What are the most commonly searched types of Machine Learning jobs in Indianapolis, IN?

The most popular types of Machine Learning jobs in Indianapolis, IN are:

What are popular job titles related to Machine Learning Contract jobs in Indianapolis, IN?

For Machine Learning Contract jobs in Indianapolis, IN, the most frequently searched job titles are:

What job categories do people searching Machine Learning Contract jobs in Indianapolis, IN look for?

The top searched job categories for Machine Learning Contract jobs in Indianapolis, IN are:

What cities near Indianapolis, IN are hiring for Machine Learning Contract jobs?

Cities near Indianapolis, IN with the most Machine Learning Contract job openings:

Machine Learning Contract jobs near you
Infographic showing various Machine Learning Contract job openings in Indianapolis, IN as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $45,373 per year, or $21.8 per hour.

Principal Agentic AI Engineer (T5)

V2X

Indianapolis, IN • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 14 days ago

V2X rating

9.0

Company rating: 9.0 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

52nd of 453 rated engineering

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 AI-driven 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, multi-sensor 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 problem-solving, 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 real-time 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 human-machine 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.

What V2X employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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

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