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Deep Learning Ai Jobs in Indiana (NOW HIRING)

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AI Architect

Indianapolis, IN · On-site

The AI Architect role involves architecting and implementing production-grade AI agent solutions ... ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create ...

Deloitte

AI Solutions Architect

Indianapolis, IN

$60.25 - $79.25/hr

... deep learning, or generative artificial intelligence solutions in production environments ... Overseeing execution of AI-powered solutions, including risk identification, ethical AI ...

Align Technology, Inc.

$195K/yr

... AI, LLMs and 3D geometry to solve problems that have no textbook solutions. You will invent new ... Train Deep Learning Models: Building Datasets, Working with Labelers, improving Data Quality ...

Pwc

AI & GenAI Data Scientist - Manager

Indianapolis, IN · On-site

$99K - $232K/yr

... deep learning techniques and neural networks to improve predictive analytics - Collaborating with stakeholders to address data challenges and optimize AI applications - Mentoring team members to ...

Trimble

Proven experience guiding the development of feature extraction and classification tools using LLMs, deep learning, or generative AI * Knowledge of Trimble Business Center and Trimble Connect or ...

ClinLab Solutions Group

IN

$61 - $78.25/hr

The ideal candidate is a proactive problem-solver with deep experience in life sciences, data ... AI engineers to develop and deploy machine learning, AI, mechanistic, statistical, and hybrid ...

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Deep Learning Ai information

Is Deep Learning AI paid?

Deep Learning AI professionals are typically paid for their work, with salaries varying based on experience, location, and role complexity. Entry-level positions may start lower, while experienced specialists or those with advanced skills in frameworks like TensorFlow or PyTorch tend to earn higher salaries. Compensation often includes benefits and opportunities for career growth.

What is the difference between Deep Learning Ai vs Machine Learning Engineer?

AspectDeep Learning AiMachine Learning Engineer
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of neural networksDegree in Computer Science, Data Science, or related fields; programming skills in Python, R
Work EnvironmentResearch labs, AI development teams, tech companies focusing on AI modelsSoftware development teams, data analysis projects across various industries
Industry UsagePrimarily in AI research, autonomous systems, NLP, computer visionAcross industries for predictive modeling, data analysis, automation

Deep Learning Ai specialists focus on designing and implementing neural network models for complex AI tasks, often requiring advanced knowledge of deep neural networks. Machine Learning Engineers develop broader machine learning models, including traditional algorithms. While both roles require similar educational backgrounds, Deep Learning Ai roles are more specialized in neural networks and AI research, whereas Machine Learning Engineers work across a wider range of algorithms and applications.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior AI researchers, machine learning directors, or AI executives, often requiring advanced skills, extensive experience, and leadership responsibilities. These roles may involve overseeing large projects, developing innovative algorithms, and managing teams, with compensation reflecting the complexity and impact of the work.

What are some common challenges faced by professionals working in Deep Learning AI, and how can they be addressed?

Professionals in Deep Learning AI often encounter challenges such as managing large datasets, ensuring model accuracy, and addressing issues like overfitting. Collaboration with data engineers and domain experts is crucial to ensure high-quality data and relevant feature selection. Additionally, staying up-to-date with rapidly evolving frameworks and algorithms requires continuous learning and participation in knowledge-sharing within the team. Regular code reviews and experimentation with different architectures can help overcome technical obstacles and improve model performance.

What is the salary of AI and deep learning?

The salary for roles in AI and deep learning varies based on experience, location, and industry, but typically ranges from $80,000 to over $150,000 annually for skilled professionals. Entry-level positions may start around $70,000, while senior roles or those requiring advanced skills in machine learning frameworks can earn higher salaries. Certifications and proficiency in programming languages like Python and tools such as TensorFlow or PyTorch can influence compensation.

What are the key skills and qualifications needed to thrive as a Deep Learning AI Engineer, and why are they important?

To thrive as a Deep Learning AI Engineer, you need a strong background in mathematics, programming (especially Python), and experience with neural networks, typically supported by a degree in computer science, engineering, or a related field. Proficiency with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of tools like CUDA for GPU acceleration, are essential; relevant certifications can be advantageous. Analytical thinking, creativity, and effective communication are important soft skills for solving complex problems and collaborating with cross-functional teams. These skills and qualities are crucial for building robust AI models and driving innovation in this rapidly evolving field.

Which 3 jobs will survive AI?

Deep Learning AI professionals are likely to find roles in areas requiring complex problem-solving, such as AI research, machine learning engineering, and data science. These jobs involve designing, developing, and maintaining AI systems, which require advanced technical skills and domain expertise that are difficult to fully automate. Continuous learning and proficiency with tools like Python and TensorFlow can enhance job security in these fields.

What are Deep Learning AI professionals?

Deep Learning AI professionals are experts who design, develop, and implement artificial intelligence systems that use deep neural networks to analyze complex data and solve tasks such as image recognition, natural language processing, and autonomous decision-making. They work with large datasets and advanced algorithms to build models that can learn and improve over time. These professionals often have a background in computer science, mathematics, or engineering, and are skilled in programming languages like Python and frameworks such as TensorFlow or PyTorch.
What are popular job titles related to Deep Learning Ai jobs in Indiana? For Deep Learning Ai jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Deep Learning Ai jobs in Indiana look for? The top searched job categories for Deep Learning Ai jobs in Indiana are:
Deep Learning Ai jobs near you
MRI Physicist | ND Human Neuroimaging Center

MRI Physicist | ND Human Neuroimaging Center

University of Notre Dame

Notre Dame, IN • On-site

Full-time

Posted 14 days ago

University Of Notre Dame rating

7.3

Company rating: 7.3 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

308th of 535 rated colleges and universities

Job description

Company Description
The University of Notre Dame is more than a workplace! We are a vibrant, mission-driven community where every employee is valued and supported. Rooted in a tradition of excellence and inspired by our Catholic character, Notre Dame is committed to fostering an environment of care that nurtures the whole person-mind, body, and spirit. Here, you will find a deep sense of belonging, a culture that prioritizes well-being, and the opportunity to grow your career while being a force for good in the world. Whether contributing to world-class research, shaping the student experience, or supporting the University's mission in other ways, you will be part of a dedicated team working to make a meaningful impact on campus and beyond. At Notre Dame, your work matters, and so do you!
Job Description
The Human Neuroimaging Center at the University of Notre Dame is seeking an MRI Physicist to join our collaborative and research-driven team. This individual will play a key role in advancing neuroimaging innovation through the development of cutting-edge MR acquisition methods on the Siemens 3T Cima.X platform-supporting brain research that enhances scientific discovery, technological capability, and human health.
This is a three-year, limited-term position. Contingent on funding, the position may be extended.
About the Position
The MRI Physicist supports the development and advancement of cutting-edge MR imaging methods for brain research using the Siemens 3T Cima.X platform. This role focuses on the programming, implementation, and testing of MR acquisition pulse sequences and image reconstruction techniques, while contributing to methodological innovation that strengthens neuroimaging research across the University. The position also collaborates with multidisciplinary research teams and technical partners to enhance imaging capabilities and advance scientific discovery.
In this role, the MRI Physicist will work hands-on with MRI hardware and software, support experimental design and protocol development, and participate in testing procedures that may include scanning human subjects (volunteers and patients). The position offers opportunities to explore and refine emerging technologies-including gradients, RF coils, field cameras, image reconstruction strategies, and AI/Deep Learning approaches-and to integrate these advancements into the Center's research infrastructure.
Key Responsibilities
Pulse Sequence Development
  • Develop, modify, and test MR pulse sequences using the Siemens development environment
  • Implement and optimize innovative acquisition strategies for neuroimaging applications
  • Conduct technical development aligned with Center research goals

Research Collaboration & Methodological Support
  • Partner with faculty and research teams to design protocols and support study planning
  • Provide MR physics expertise to advance scientific outcomes
  • Contribute to methodological innovation within active research projects

Technology Advancement & Innovation
  • Participate in development and integration of emerging MRI technologies, including:
    • gradients
    • RF coils
    • field cameras
    • image reconstruction approaches
    • Deep Learning / AI tools

Experimental Testing & Data Validation
  • Scan phantoms and human subjects to validate new methods
  • Conduct QA/QC procedures
  • Integrate new acquisition strategies into Center workflows

Qualifications
Required Qualifications
  • M.A./M.S. in Physics, Engineering, Computer Science, or related discipline
  • Demonstrated ability to develop, modify, and test MR pulse sequences on a research MRI platform, with significant knowledge of MRI physics
  • Demonstrated ability to work in a team environment
  • Excellent verbal and written communication skills

Preferred Qualifications
  • Ph.D. in Physics, Engineering, Computer Science, or related discipline
  • Experience with pulse sequence development using the Cima.X MRI platform
  • Experience in image reconstruction
  • Experience in scanning human subjects

Additional Information
Application Deadline to Apply: June 16, 2026
Hiring Pay Range: Commensurate with qualifications and experience
Required Application Materials: Cover letter, CV, and (3) letters of recommendation
Term: Three-year, limited-term. Contingent on funding, the position may be extended
The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, national or ethnic origin, sex, disability, veteran status, genetic information, or age in employment. Moreover, Notre Dame prohibits discrimination against veterans or disabled qualified individuals, and complies with 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a). We strongly encourage applications from candidates attracted to a university with a Catholic identity.

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