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Ai Model Jobs in Indiana (NOW HIRING)

Braunability

AI Data Architect

Winamac, IN

$58.75 - $75.50/hr

Prevent data leakage across departments by structurally constraining what each AI model can access at the pipeline level, not just the application level. * Serve as the formal infrastructure ...

BraunAbility

AI Data Architect

Winamac, IN · On-site

Prevent data leakage across departments by structurally constraining what each AI model can access at the pipeline level, not just the application level. * Serve as the formal infrastructure ...

Guidehouse

Model Validation Lead

Indianapolis, IN

Lead endtoend model validation activitie s for ML, AI, and advanced analytical models * Define and oversee validation frameworks covering conceptual soundness, data integrity, methodology ...

Guidehouse

Model Validation Lead

Indianapolis, IN · On-site

Lead end‑to‑end model validation activitie s for ML, AI, and advanced analytical models * Define and oversee validation frameworks covering conceptual soundness, data integrity, methodology ...

Precinmac

AI Engineer

Indianapolis, IN · On-site

Create blueprints for AI applications, select appropriate AI models, data pipelines and infrastructure to develop end to end AI systems. Reports To: Director, Technology & Continuous Improvement ...

micro1 AI

Lawyer (Asset Management)

Fort Wayne, IN · Remote

$80 - $105/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision. * Create objective evaluation frameworks and grading criteria to ...

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Ai Model information

What job makes AI models?

Data scientists, machine learning engineers, and AI researchers are common jobs that develop and build AI models. These roles involve designing algorithms, training models using large datasets, and utilizing tools like Python, TensorFlow, or PyTorch. Strong programming skills and knowledge of statistics are essential for creating effective AI models.

How to become an AI model?

To become an AI model developer, you should gain a strong foundation in programming languages like Python, study machine learning and deep learning concepts, and work with frameworks such as TensorFlow or PyTorch. Building a portfolio of projects and obtaining relevant certifications can also enhance your skills and employability in this field.

What is the difference between Ai Model vs Data Scientist?

AspectAi ModelData Scientist
Required CredentialsKnowledge of machine learning, programming skills, sometimes certifications in AI/MLDegree in data science, statistics, computer science; certifications beneficial
Work EnvironmentFocus on developing, training, and deploying AI modelsData analysis, interpretation, and visualization; often collaborates with AI teams
Industry UsageUsed in AI development, automation, and predictive modelingApplied across industries for insights, reporting, and decision-making

While both roles involve working with data and algorithms, an Ai Model primarily focuses on creating and refining AI systems, whereas a Data Scientist analyzes data to generate insights and supports AI development. The roles often overlap but serve distinct functions within the data and AI ecosystem.

How much do AI models get paid?

AI model developers and researchers typically earn between $80,000 and $150,000 annually, depending on experience, location, and the complexity of the models they work on. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, often exceeding $200,000. Compensation may also include bonuses, stock options, and benefits based on the employer and industry sector.

What are some common challenges faced by professionals working as AI Model developers, and how can they address them?

Professionals working as AI Model developers often encounter challenges such as managing large and complex datasets, ensuring model accuracy, and addressing issues of bias in algorithms. They may also need to balance the trade-off between model performance and interpretability, especially when deploying models in production environments. To overcome these challenges, AI Model developers typically collaborate closely with data engineers, domain experts, and other stakeholders, regularly validate their models, and stay updated with the latest advancements in the field to adopt best practices.

What are AI models?

AI models are computer programs designed to simulate human intelligence by learning patterns from data and making predictions or decisions based on that learning. These models can perform a variety of tasks, such as recognizing speech, translating languages, analyzing images, and generating text. AI models are created using machine learning algorithms and are trained on large datasets to improve their accuracy and performance. Popular examples include neural networks, decision trees, and support vector machines. The effectiveness of an AI model depends on the quality of the data, the chosen algorithm, and the training process.

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

To excel as an AI Model Developer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science, data science, or a related field. Familiarity with ML frameworks like TensorFlow or PyTorch, cloud platforms, and relevant certifications such as TensorFlow Developer or AWS Machine Learning Specialty are valuable. Critical thinking, continuous learning, and effective collaboration with interdisciplinary teams are key soft skills for success. These competencies enable the creation of accurate, reliable AI models that can effectively solve complex real-world problems.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI architect, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms, with compensation reflecting expertise and impact.
What are popular job titles related to Ai Model jobs in Indiana? For Ai Model jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Model jobs in Indiana look for? The top searched job categories for Ai Model jobs in Indiana are:
What cities in Indiana are hiring for Ai Model jobs? Cities in Indiana with the most Ai Model job openings:
Ai Model jobs near you
Infographic showing various Ai Model job openings in Indiana as of July 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 68% In-person, 6% Hybrid, and 26% Remote job distribution.
AI Data Architect

AI Data Architect

Braunability

Winamac, IN

$58.75 - $75.50/hr

Full-time

Posted 25 days ago

BraunAbility rating

6.5

Company rating: 6.5 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

355th of 430 rated machine equipment manufacturers

Job description

Job Description:

Essential Functions:

  • Data Pipelining & Infrastructure

  • Build,optimize, andmaintainthe data pipelines that feed BAA's AI solutions, connecting both structured and unstructured data from enterprise data lakes (Snowflake), ERP systems (Epicor), CRM (Salesforce), and document repositories (SharePoint).

  • Automate the ingestion and structuring of unstructured data (PDFs, manuals, contracts, emails) to enable highlyaccurateRetrieval-Augmented Generation (RAG) architectures.

  • Map complex enterprise data schemas toidentifythe exact tables, fields, and payloadsrequiredto support the cognitive architecture designed by the AI Studio Lead.

  • Build andmaintaindevelopment and testing environments that allow the Studio to experiment rapidly without risking production systems.

  • Security, Governance & Compliance

  • Design and implement strict Role-Based Access Control (RBAC) and enterprise security protocols within the AI environment - ensuring AI agents onlyquery dataexplicitly authorizedforthe specific end-user.

  • Prevent data leakage across departments by structurally constraining what each AI model can access at the pipeline level, not just the application level.

  • Serve as the formal infrastructure checkpoint before cognitive architecture developmentbegins - confirming pipeline stability, RBAC compliance, and data integrity prior to any build phase commencing.

  • Monitor data flows for system drift, broken APIs, or context collapse, ensuring AIoutputsremainaccurateand safe for both office and factory floor operations.

  • Establish andmaintainService Level Agreements (SLAs) for pipeline uptime - detecting and communicating failures before end-users areimpacted.

  • Platform Integration & IT Liaison

  • Develop secure API integrations between enterprise AI platforms and BAA's existing technology stack.

  • Serve as the primary technical liaison to BAA IT and Global Data Architecture, ensuring infrastructure provisioning, database access, and cloud networking meet enterprise standards.

  • Advocate for the AI Studio's technical needs within the broader IT governance ecosystem.

  • Implement automated alerting systems for data pipeline failures.

Knowledge, Skills, Abilities:

  • Deep technicalexpertiseworking with SQL, enterprise data lakes, and ETL/ELT pipeline construction.

  • Strongproficiencyin building and securing API integrations between disparate cloud andon-premisessystems.

  • Experience implementing strict security frameworks and Role-Based Access Controls (RBAC)atthe database and application layer.

  • Exceptional troubleshooting and debugging skills - able to independently diagnose integration issues across legacy platforms without waiting for vendor support.

  • Comfortoperatingin a small, fast-moving team where you own entire workstreams end-to-end without layers of specialization or handoffs.

MinimumRequirements:

  • Bachelor's degree and minimum of6years of related work experiencerequired.

  • An equivalent combination of education and/or related work experience equal to10years will also be considered.

  • 3+ years of experience in data engineering, data architecture, or database administration within an enterprise environment.

BraunAbility is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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