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Software Engineer Ai Model Training Jobs in Indiana

Cox Automotive

Software Engineer II

Speedway, IN · On-site

$89K - $134K/yr

The Software Engineer II applies secure software engineering principles to the design, development ... Familiarity with the Model Context Protocol (MCP) or building tool/plugin interfaces for AI systems.

Cox Automotive

Software Engineer II

Avon, IN · On-site

$89K - $134K/yr

The Software Engineer II applies secure software engineering principles to the design, development ... Familiarity with the Model Context Protocol (MCP) or building tool/plugin interfaces for AI systems.

Cox Automotive

Software Engineer II

Sheridan, IN · On-site

$89K - $134K/yr

The Software Engineer II applies secure software engineering principles to the design, development ... Familiarity with the Model Context Protocol (MCP) or building tool/plugin interfaces for AI systems.

Cox Automotive

Software Engineer II

Whitestown, IN · On-site

$89K - $134K/yr

The Software Engineer II applies secure software engineering principles to the design, development ... Familiarity with the Model Context Protocol (MCP) or building tool/plugin interfaces for AI systems.

Cox Automotive

Software Engineer II

Clermont, IN · On-site

$89K - $134K/yr

The Software Engineer II applies secure software engineering principles to the design, development ... Familiarity with the Model Context Protocol (MCP) or building tool/plugin interfaces for AI systems.

Cox Automotive

Software Engineer II

Noblesville, IN · On-site

$89K - $134K/yr

The Software Engineer II applies secure software engineering principles to the design, development ... Familiarity with the Model Context Protocol (MCP) or building tool/plugin interfaces for AI systems.

Cox Automotive

Software Engineer II

Cicero, IN · On-site

$89K - $134K/yr

The Software Engineer II applies secure software engineering principles to the design, development ... Familiarity with the Model Context Protocol (MCP) or building tool/plugin interfaces for AI systems.

Petersen Inc.

AI Engineer

Indianapolis, IN · On-site

The AI Engineer is an experienced technical professional who bridges business strategy with AI ... Ensure proper data handling, model training infrastructure and deployment. Authorities: Not ...

Cox Automotive

Principal Software Engineer

Cicero, IN · On-site

$163K - $272K/yr

AWS Quick, an emerging AI platform for agents and enterprise connectors; and an established ... Define the Model Context Protocol (MCP) strategy for enterprise integrations: tool contracts ...

Cox Automotive

Principal Software Engineer

Fishers, IN · On-site

$163K - $272K/yr

AWS Quick, an emerging AI platform for agents and enterprise connectors; and an established ... Define the Model Context Protocol (MCP) strategy for enterprise integrations: tool contracts ...

Cox Automotive

Principal Software Engineer

Sheridan, IN · On-site

$163K - $272K/yr

AWS Quick, an emerging AI platform for agents and enterprise connectors; and an established ... Define the Model Context Protocol (MCP) strategy for enterprise integrations: tool contracts ...

Precinmac

AI Engineer

Indianapolis, IN · On-site

Position Title: AI Engineer Position Summary: The AI Engineer is an experienced technical ... Ensure proper data handling, model training infrastructure and deployment. Authorities: Not ...

Cox Automotive

Principal Software Engineer

Arcadia, IN · On-site

$163K - $272K/yr

AWS Quick, an emerging AI platform for agents and enterprise connectors; and an established ... Define the Model Context Protocol (MCP) strategy for enterprise integrations: tool contracts ...

Cox Automotive

Principal Software Engineer

Arcadia, IN · On-site

$163K - $272K/yr

AWS Quick, an emerging AI platform for agents and enterprise connectors; and an established ... Define the Model Context Protocol (MCP) strategy for enterprise integrations: tool contracts ...

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Software Engineer Ai Model Training information

What does a software engineer AI model training do?

A Software Engineer specializing in AI Model Training is responsible for designing, developing, and optimizing machine learning models. Their work involves preparing and processing large datasets, selecting appropriate algorithms, implementing training pipelines, and evaluating model performance. They collaborate closely with data scientists and other engineers to ensure that AI models are accurate, efficient, and suitable for deployment in real-world applications. Additionally, they may help maintain infrastructure for model training and contribute to research and development of new AI techniques.

What are the key skills and qualifications needed to thrive as a software engineer AI model training?

To excel as a Software Engineer in AI Model Training, you need strong programming skills (especially in Python), a solid grasp of machine learning fundamentals, and typically a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with data processing tools, and sometimes certifications in AI or ML are highly valuable. Analytical thinking, problem-solving, and effective collaboration enhance your ability to develop and refine complex AI models. These skills ensure that AI solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving technological landscape.

What are some common challenges faced by software engineers AI model training, and how can they be addressed?

Software Engineers focusing on AI model training often encounter challenges such as managing large datasets, ensuring data quality, and optimizing model performance. Addressing these issues typically involves close collaboration with data scientists, domain experts, and DevOps engineers to streamline the data pipeline and refine training processes. Staying up to date with the latest advancements in machine learning frameworks and tools can also help overcome technical hurdles. Regular code reviews and cross-functional meetings further support problem-solving and foster a productive work environment.

What is the difference between Software Engineer Ai Model Training vs Data Scientist?

AspectSoftware Engineer Ai Model TrainingData Scientist
Required CredentialsBachelor's in CS, related field; experience with ML frameworksBachelor's or higher in CS, statistics, or related field; strong analytical skills
Work EnvironmentDevelopment teams, AI labs, cloud platformsData analysis, research environments, business units
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting

While both roles involve working with data and machine learning, Software Engineer Ai Model Training focuses on developing and optimizing AI models through coding and engineering practices. Data Scientists analyze data, build models, and generate insights. The roles often collaborate but differ in their core responsibilities and skill sets.

Can I get paid to train AI models?

Yes, software engineers and AI specialists can be paid to train AI models, especially in roles that involve developing, fine-tuning, and optimizing machine learning algorithms. These positions often require knowledge of programming languages like Python, experience with machine learning frameworks, and access to computational resources. Compensation varies based on experience, location, and the complexity of the models being trained.

How to become a software engineer AI model trainer?

To become a software engineer AI model trainer, you should have a strong background in computer science, programming skills in languages like Python, and experience with machine learning frameworks such as TensorFlow or PyTorch. Gaining knowledge in data preprocessing, model evaluation, and working with large datasets is essential, along with relevant certifications or advanced degrees in AI or related fields.

What are popular job titles related to Software Engineer Ai Model Training jobs in Indiana?

For Software Engineer Ai Model Training jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Software Engineer Ai Model Training jobs in Indiana look for?

The top searched job categories for Software Engineer Ai Model Training jobs in Indiana are:

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Cities in Indiana with the most Software Engineer Ai Model Training job openings:

Software Engineer Ai Model Training jobs near you

Software Engineer II

Speedway, IN • On-site

Cox Automotive
Automobile Dealers • 5 - 10K employees
Learn more about Cox Automotiveexternal

$89K - $134K/yr

Full-time

PTO

Posted 23 days ago

Cox Automotive rating

7.7

Company rating: 7.7 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

Job description

Cox Automotive is deploying enterprise AI capabilities on AWS Quick across the enterprise, helping teams work more effectively in their day-to-day operations.
The Software Engineer II applies secure software engineering principles to the design, development, testing, maintenance, and evaluation of software and cloud infrastructure. This role collaborates closely with teammates to understand business requirements, contribute to architectural discussions, and deliver scalable, resilient, and secure systems. As part of a corporate-wide AI transformation initiative, this role will also incorporate the responsible use of AI-assisted development tools to streamline coding, testing, troubleshooting, and documentation activities across the SDLC.
This is early-stage work with executive sponsorship, direct access to AWS technical teams, and the chance to grow your skills rapidly in AI platform engineering.
What You'll Do
Build & Ship
  • Build and maintain connectors that integrate Quick with enterprise systems - wrapping APIs, handling auth, managing errors, and making data available to AI agents.
  • Ship features on the AI Artifact Hub - bug fixes, performance improvements, and new capabilities that make the product better for internal users.
  • Write clean, tested Python code for APIs, data pipelines, agent skills, and platform tooling.
  • Help enforce integration standards and support domain teams as they publish MCP servers to the enterprise connector catalog.
  • Implement features end-to-end: design, code, test, deploy, and monitor in production.

Learn & Grow
  • Work closely with senior engineers to learn architecture patterns, code review practices, and production engineering standards.
  • Develop expertise in AI platform concepts: RAG, knowledge ingestion, embeddings, agent orchestration, evaluation frameworks, and access control for AI systems.
  • Grow your AWS skills through hands-on work with Lambda, S3, IAM, API Gateway, Step Functions, and infrastructure as code.
  • Contribute to access control and data safety - help ensure AI agents respect user permissions and never surface unauthorized data in prompt contexts.
  • Participate in design discussions - your perspective matters on a small team.

Operate & Support
  • Instrument the systems you build - metrics, logging, alerting, and dashboards so the team knows when something is wrong before users do.
  • Contribute to evaluation and feedback systems - help build automated test suites that measure agent quality and capture human-in-the-loop corrections.
  • Write and maintain CI/CD pipelines (GitHub Actions) and infrastructure as code (Terraform) with guidance from senior team members.
  • Contribute to documentation for systems, runbooks, and onboarding materials.
  • Participate in on-call rotation with mentorship and support from senior engineers.

Who You Are
  • Bachelor's degree in Computer Science and 2 years' experience in a related field. The right candidate could also have a different combination, such as a
    master's degree and up to 2 years' experience; or 14 years' experience in a related field.
  • 2+ years of professional software development experience building production applications or services.
  • Proficiency in Python, including writing APIs, scripts, or data processing logic.
  • Familiarity with AWS cloud services (e.g., Lambda, S3, IAM, API Gateway) or another major cloud provider.
  • Experience with version control (Git) and collaborative development workflows (pull requests, code review).
  • Basic understanding of APIs (REST, authentication patterns) and experience integrating with third-party services.
  • Eagerness to learn new technologies and grow into more complex engineering challenges.
  • Strong communication skills and a collaborative, team-first mindset.
  • Applicants must be authorized to work in the United States for any employer without current or future sponsorship.
  • Ability to work in the office three days per week.
  • Willingness to participate in an on-call rotation with mentorship from senior engineers.

Preferred Qualifications
  • Exposure to AI/ML-powered tools, AI APIs, prompt engineering, or building AI-enabled features.
  • Experience with Infrastructure as Code (Terraform) or CI/CD pipelines (GitHub Actions).
  • Familiarity with the Model Context Protocol (MCP) or building tool/plugin interfaces for AI systems.
  • Familiarity with data platforms (Snowflake, Databricks, data lakes, or similar).
  • Exposure to authorization models in multi-user systems (row-level security, role-based access).
  • Familiarity with cost optimization or FinOps concepts in cloud environments.
  • Interest in or exposure to knowledge graphs, embeddings, vector databases, or search systems.
  • Experience with event-driven architectures or serverless computing patterns.
  • Experience building internal tools, developer platforms, or internal-facing products.
  • Prior work in automotive, media, or another large enterprise environment is a plus but not required.

USD 89,400.00 - 134,000.00 per year
Compensation:
Compensation includes a base salary in the range of $89,400.00 - $134,000.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
EOE, including disability/vets

What Cox Automotive employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Cox Automotive

Sourced by ZipRecruiter

At Cox Automotive, people of every background are driven by their passion for mobility, innovation and community. We transform the way the world buys, sells, owns and uses cars, accelerating the industry with global powerhouse brands like Autotrader, Kelley Blue Book, Manheim and more. What's more, we do it all with an emphasis on employee growth and happiness. Drive your future forward and join Cox Automotive today! Cox empowers employees to build a better future and has been doing so for over 120 years. With exciting investments and innovations across transportation, communications, cleantech and healthcare, our family of businesses - which includes Cox Automotive and Cox Communications - is forging a better future for us all. Ready to make your mark? Join us today! Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page . Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship. Statement to ALL Third-Party Agencies and Similar Organizations: Cox accepts resumes only from agencies with which we formally engage their services. Please do not forward resumes to our applicant tracking system, Cox employees, Cox hiring manager, or send to any Cox facility. Cox is not responsible for any fees or charges associated with unsolicited resumes.

Industry

Automobile dealers and technology, communication and media

Company size

5,001 - 10,000 Employees

Headquarters location

Atlanta, GA, US

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