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Software Engineer Ai Model Training Jobs in Indiana

This role reports to the Manager of Software Engineering and provides the opportunity to work on ... Experience working with large language model (LLM) APIs or generative AI systems * Experience ...

Computational Biology MLOps Engineer

Indianapolis, IN · On-site

$106K - $125K/yr

Build and maintain ML infrastructure, including CI/CD pipelines (GitHub Actions) for model training ... software engineering, DevOps, data engineering, or ML engineering roles, including 3+ years of ...

$175K - $250K/yr

Vice President, Software Engineering & AI Transformation Position Summary MEDHOST, a division of ... Stay current on industry advancements across models, agent orchestration, best practices and other ...

$175K - $250K/yr

Vice President, Software Engineering & AI Transformation Position Summary MEDHOST, a division of ... Stay current on industry advancements across models, agent orchestration, best practices and other ...

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools ... Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale

Software Engineer II

Carmel, IN · On-site +1

$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.

Software Engineer II

Mc Cordsville, 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.

Software Engineer II

Fishers, 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.

Software Engineer II

Arcadia, 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.

Software Engineer II

Lawrence, 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.

Software Engineer II

Westfield, 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.

Software Engineer II

Meridian Hills, 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.

Software Engineer II

Carmel, 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.

Software Engineer II

Brownsburg, 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.

Software Engineer II

Cumberland, 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.

Software Engineer II

Indianapolis, 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.

Software Engineer II

Zionsville, 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.

Showing results 21-40

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:

What cities in Indiana are hiring for Software Engineer Ai Model Training jobs?

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

Software Engineer

Indianapolis, IN • On-site

Other

Medical, Retirement

Re-posted 21 days ago


Key responsibilities

  • Build and operate backend services that support Relativity's generative AI platform, aiR.

  • Design, develop, and maintain scalable, secure, and reliable systems for high-throughput AI workloads.

  • Collaborate with the team to improve engineering processes and ensure the systems operate efficiently at scale.


Job description

Posting Type

Hybrid/Remote

Job Overview

WHO WE ARE
Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.
The world's largest law firms, corporations, and government agencies rely on Relativity's legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we're deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change.
WHAT WE DO
At Relativity, engineers don't just write code. They build the systems that power AI-driven workflows at massive scale, enabling customers to uncover insights and act on complex data with confidence.
aiR Services Team
The aiR Services team builds the shared backend platform that powers Relativity's generative AI products. These systems enable secure and scalable access to foundation models across the aiR Suite while handling challenges such as limited model capacity, global data privacy requirements, and fair usage across products and customers. The team works on high-throughput, distributed systems that route AI traffic across regions and providers, protect downstream services from reliability risks, and optimize cost and performance at scale.
If you're excited about building platforms that power an entire product suite, working with generative AI systems in production, and solving distributed systems challenges at global scale, this is a high-impact team to join.

Job Description and Requirements

ABOUT THE ROLE

As a Software Engineer, you will build and operate backend services that power Relativity's generative AI platform, aiR. You will work at the intersection of distributed systems, cloud infrastructure, and applied AI, helping to deliver reliable, scalable systems that sit on the critical path of AI-powered workflows.

This role reports to the Manager of Software Engineering and provides the opportunity to work on multi-region, multi-cloud systems that handle large-scale AI traffic and complex orchestration challenges.

WHAT YOU'LL DO

  • Design and build performant, scalable, and secure backend services with a strong focus on quality, not just meeting requirements
  • Collaborate with a software development team to deliver high-quality, reliable systems that operate at massive scale
  • Develop and maintain systems that support high-throughput AI workloads, including asynchronous job orchestration and distributed processing
  • Write comprehensive unit and integration tests supported by static analysis and thoughtful test strategy development
  • Contribute to improving engineering processes by recommending enhancements to tools, workflows, and practices
  • Participate in pair programming to improve software quality and share design and implementation knowledge
  • Contribute to building systems that route and manage AI traffic efficiently while maintaining reliability and fairness across workloads

WHAT WE'RE LOOKING FOR

Required

  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience
  • Experience building backend services using languages such as C#, Python, or similar
  • Understanding of software engineering disciplines and the ability to work across multiple layers of the application stack
  • Strong foundational knowledge of distributed systems, scalability, and backend service design

Preferred

  • Understanding of DevOps principles and experience with tools such as GitHub Actions
  • Experience working with large language model (LLM) APIs or generative AI systems
  • Experience designing and building scalable systems in Azure or other cloud platforms
  • Experience with Kubernetes, serverless technologies, and cloud-native architectures
  • Familiarity with domain-driven design and event-driven architecture
  • Experience with AI-driven development practices or AI-assisted coding tools
  • Awareness of emerging technology trends and their practical application in engineering

WHY WE COULD BE A GREAT FIT

Impactful AI Platform

  • Build foundational systems that power Relativity's generative AI capabilities and enable products across the aiR Suite.

Distributed Systems at Scale

  • Work on high-throughput, multi-region services that handle large volumes of AI traffic reliably and efficiently.

Cutting-Edge Technology

  • Gain hands-on experience with generative AI systems, cloud-native infrastructure, and modern distributed architectures.

Growth Opportunity

  • Develop deep expertise in backend systems, cloud platforms, and AI-driven services while working on highly visible, impactful projects.

Collaborative Culture

  • Work with a team that values strong engineering fundamentals, shared ownership, and continuous learning.

Compensation and Benefits

  • Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, company-wide breaks, home office stipend, and an equity program.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$79,000 and $119,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Automation, Documentations, Engineering Design, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Research and Development, System Integration, Troubleshooting