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Learning Ai Jobs in Indiana (NOW HIRING)

Pwc

AI Engineer

Indianapolis, IN · On-site

$50K - $112K/yr

Your work will involve designing AI systems, data wrangling, and software implementation to enable ... As an Associate, you will focus on learning and contributing to projects while developing your ...

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Learning Ai information

What is a learning AI?

A Learning AI, or Artificial Intelligence that learns, refers to computer systems that can improve their performance over time by analyzing data and experiences. These systems use techniques such as machine learning and deep learning to adapt to new information, recognize patterns, and make predictions or decisions without being explicitly programmed for every task. Learning AI is used in many applications, including recommendation engines, language translation, and autonomous vehicles. As technology advances, Learning AI continues to play a crucial role in automating complex tasks and enhancing decision-making processes.

What are the key skills and qualifications needed to thrive as a learning AI engineer?

To thrive as a Learning AI Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree or certification. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or PyTorch), and cloud computing platforms is typically required. Strong problem-solving skills, adaptability, and effective communication set outstanding professionals apart in this field. These skills are crucial for building, deploying, and refining AI models that solve real-world problems efficiently and ethically.

How do learning AI professionals typically collaborate with subject matter experts to develop effective training solutions?

Learning AI professionals frequently work alongside subject matter experts (SMEs) to ensure that AI-driven training tools and content are accurate, relevant, and engaging. This collaboration often involves regular meetings to gather domain-specific knowledge, iterative review of training modules, and feedback sessions to fine-tune AI models for optimal learning outcomes. Clear communication and a strong partnership with SMEs are essential, as they help bridge technical AI capabilities with real-world educational needs, resulting in more impactful and user-friendly learning solutions.

What is the difference between Learning Ai vs Data Scientist?

AspectLearning AiData Scientist
Required CredentialsTypically a degree in Computer Science, AI, or related fields; certifications in AI/MLDegree in Computer Science, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentTech companies, AI startups, research labs focusing on AI developmentBusiness environments, analyzing data to inform decisions across industries
Employer & Industry UsagePrimarily in AI development, research, and product creationAcross finance, healthcare, marketing, and other sectors for data analysis

Learning Ai focuses on developing algorithms and models that enable machines to learn and improve autonomously, often involving deep learning and neural networks. Data Scientists analyze and interpret complex data to help organizations make informed decisions. While both roles require knowledge of machine learning, Learning Ai is more centered on creating AI systems, whereas Data Scientists focus on extracting insights from data.

How do I start a career in learning ai?

To start a career in learning AI, develop a strong foundation in mathematics, programming (especially Python), and machine learning concepts. Gaining hands-on experience through projects, online courses, and certifications such as those from Coursera or edX can help build skills and demonstrate expertise to employers.

Is learning AI a good career path?

Learning AI can be a strong career choice due to high demand for skills in machine learning, data analysis, and programming languages like Python. Careers in AI often require continuous learning, strong problem-solving skills, and familiarity with tools such as TensorFlow or PyTorch. The field offers opportunities across industries including technology, healthcare, finance, and automotive sectors.

What are popular job titles related to Learning Ai jobs in Indiana?

For Learning Ai jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Learning Ai jobs in Indiana look for?

The top searched job categories for Learning Ai jobs in Indiana are:

What cities in Indiana are hiring for Learning Ai jobs?

Cities in Indiana with the most Learning Ai job openings:

Learning Ai jobs near you

Director of Learning & Development

Noblesville, IN • On-site

Ryan Fireprotection Inc.
Industrial Machinery Manufacturing • 51 - 200 employees
Learn more about Ryan Fireprotection Inc.external

Full-time

Re-posted 9 days ago

Job description

Director of Learning & Development
The Director of Learning & Development is responsible for building and leading Ryan Fireprotection's learning function from the ground up. This role will establish the strategy, structure, and systems needed to develop employee capability across all levels of the organization.
This position moves beyond traditional training by designing a modern, performance-driven learning environment that supports business growth, safety, and operational excellence. The Director of Learning & Development will create scalable, digital-first learning solutions that ensure employees have access to the right knowledge, at the right time, in the flow of their work.
Working across technical, operational, and corporate functions, this role will align learning initiatives with company priorities, supporting employee development, improving performance, and enabling long-term organizational success.
Key Responsibilities
Learning Strategy & Function Development
  • Build and lead Ryan Fireprotection's Learning & Development function, establishing structure, processes, and long-term strategy
  • Develop a 12-24 month learning roadmap aligned with company growth, operational needs, and workforce development goals
  • Create scalable learning systems that support both field and office employees
  • Establish standards for content development, delivery, and continuous improvement

Performance-Based Learning Design
  • Design learning solutions that support real-world performance, not just course completion
  • Develop blended learning approaches including on-the-job training, digital learning, and instructor-led programs
  • Identify skill gaps using performance data and implement targeted learning solutions
  • Ensure learning programs support safety, compliance, productivity, and quality standards

Digital Learning & AI Integration
  • Implement modern learning technologies and tools to support scalable, efficient learning delivery
  • Integrate AI-enabled tools to support content development, knowledge access, and performance support
  • Ensure learning resources are easily accessible within the flow of work
  • Continuously evaluate and improve the learning technology ecosystem

Team Leadership & Development
  • Build, lead, and develop a high-performing Learning & Development team
  • Provide coaching, direction, and development opportunities for internal team members and external partners
  • Foster a culture of continuous improvement, collaboration, and accountability
  • Define roles, responsibilities, and growth paths within the L&D function

Stakeholder Partnership & Business Alignment
  • Partner with leadership across operations, sales, service, engineering, and corporate functions to identify learning needs
  • Translate business challenges into actionable learning strategies and solutions
  • Serve as a trusted advisor to leadership on workforce capability and development
  • Support change initiatives, system rollouts, and process improvements through targeted learning efforts

Measurement & Continuous Improvement
  • Establish clear metrics to evaluate learning effectiveness based on business outcomes, not participation
  • Monitor and report on the impact of learning initiatives on performance, safety, and productivity
  • Ensure learning programs are consistent, scalable, and sustainable across all locations
  • Maintain compliance with regulatory, safety, and certification requirements where applicable

Qualifications
  • 10+ years of experience in Learning & Development, Organizational Development, or a related field
  • Proven experience building or scaling learning programs within a growing organization
  • Experience leading and developing a team
  • Strong understanding of performance-based learning and instructional design principles
  • Experience implementing digital learning platforms and modern learning technologies
  • Ability to align learning initiatives with business and operational goals
  • Excellent communication, leadership, and organizational skills

Preferred Experience
  • Experience in construction, engineering, manufacturing, or skilled trades environments
  • Familiarity with safety training standards and compliance-driven learning programs
  • Experience working in multi-location or rapidly growing organizations
  • Exposure to AI-enabled learning tools or modern digital learning strategies

Requirements
  • Candidates must possess and maintain a valid driver's license. The ability to drive to job sites / work locations may be a requirement of this position. A motor vehicle record (MVR) check will be conducted as part of the hiring process.
  • Employment is contingent upon successful completion of a background check.

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