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Applied Machine Learning Intern Jobs in Carmel, IN

REXEL

Intern

Indianapolis, IN · On-site

$14.25 - $19/hr

The Intern participates in a professional internship program designed to provide on-the-job ... Operates a computer and other office machinery - Constantly - at least 51% * Stoop, kneel, crouch ...

MISO

Principal AI Engineer

Carmel, IN · On-site

$168K - $193K/yr

Applied mathematical modeling * Proven ability to take ideas from concept to scalable production ... Azure Data Factory & Azure Machine Learning Studio * MLflow and model lifecycle management * OpenAI ...

Accenture

Sr. Applied AI Engineer (Claude/Codex)

Carmel, IN · On-site

$122K - $161K/yr

You Are As an Applied AI team member at Accenture, you will be a Pre-Sales architect focused on ... Build, support, and maintain scalable machine learning infrastructure, including distributed ...

Cisco

Applied AI Scientist

Indianapolis, IN · On-site

Contribute to the research, design, and development of large-scale foundation models for machine ... Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE ...

Net2Source (N2S)

Graduate Student Intern

Tipton, IN · On-site

$18 - $19/hr

Training consists of: starting with planting - learning the techniques and machines. Then approx. 15 hours of learning how to evaluate seedlings. * Day Shift until October. Ideally work 8 hours/day.

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Showing results 21-40

All JobsApplied Machine Learning Intern JobsApplied Machine Learning Intern Jobs in Carmel, IN

Applied Machine Learning Intern information

See Carmel, IN salary details

$25.5K

$42.5K

$87.9K

How much do applied machine learning intern jobs pay per year?

As of Aug 8, 2026, the average yearly pay for applied machine learning intern in Carmel, IN is $42,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,400.00 and $45,900.00 per year, depending on experience, location, and employer.

What is the difference between Applied Machine Learning Intern vs Data Science Intern?

AspectApplied Machine Learning InternData Science Intern
Required SkillsMachine learning algorithms, programming (Python, R), data analysisStatistical analysis, data visualization, programming (Python, R)
Work EnvironmentDeveloping ML models, experimenting with algorithms, deploying modelsData cleaning, analysis, reporting insights
Industry UsageTech companies, AI startups, research labsBusiness analytics, market research, finance

Applied Machine Learning Interns focus on developing and deploying machine learning models, requiring knowledge of algorithms and programming. Data Science Interns typically handle data analysis, visualization, and reporting. While both roles involve data skills, applied ML interns work more on model implementation, whereas data science interns focus on insights and data interpretation.

What are popular job titles related to Applied Machine Learning Intern jobs in Carmel, IN? For Applied Machine Learning Intern jobs in Carmel, IN, the most frequently searched job titles are:
What job categories do people searching Applied Machine Learning Intern jobs in Carmel, IN look for? The top searched job categories for Applied Machine Learning Intern jobs in Carmel, IN are:
What cities near Carmel, IN are hiring for Applied Machine Learning Intern jobs? Cities near Carmel, IN with the most Applied Machine Learning Intern job openings:
Applied Machine Learning Intern jobs near you

Lead Technology Product Manager, AI Clinical Decision Support

Wolters Kluwer

Indianapolis, IN • On-site

$118K - $207K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New

Wolters Kluwer rating

9.0

Company rating: 9.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

33rd of 242 rated software companies

Job description

Build trusted AI experiences that help clinicians getfrom question to answerfaster.

At Wolters Kluwer Health, the UpToDate suite supports millions of clinical decisions every day. As AI changes how clinicians search for, interpret, and apply clinical knowledge, we are building product experiences that make trusted guidance easier to access, understand, and use.

As Senior Product Manager, AI Clinical Decision Support, you will play a core role in developing AI-enabled experiences for UpToDate's core clinical decision support products. Working under product leadership, you will own discovery and delivery for defined capabilities that improve how users ask clinical questions, navigate evidence-based content, and engage with trusted answers.

This role focuses on building useful, responsible, and engaging AI product experiences that support clinical judgment and strengthen the core UpToDate experience.

What You'll Do

  • Drive discovery and delivery for defined AI-enabled clinical decision support capabilities.

  • Translate clinician, customer, and business needs into product requirements, experiments, roadmap priorities, and measurable outcomes.

  • Shape experiences that help clinicians ask questions, find relevant information, understand clinical context, and move from question to action with confidence.

  • Partner with engineering, design, clinical, content, analytics, customer-facing, and commercial teams from discovery through launch and iteration.

  • Define success metrics tied to adoption, engagement, trust, user satisfaction, workflow impact, and business value.

  • Use customer conversations, concept tests, analytics, and feedback tovalidateuser needs and product direction.

  • Make product decisions that balance customer value, usability, clinical trust, technical feasibility, speed, cost, and responsible AI considerations.

  • Communicate roadmap priorities, rationale, risks, and tradeoffs clearly across teams and leadership.

What You'll Bring

  • 5+ years of product management experience in healthcare, enterprise SaaS, content products, search, workflow, or data-driven products.

  • Strong product discovery and execution skills, including customer research, experimentation, roadmap development, and metrics-driven decision-making.

  • Experience translating complex customer problems into intuitive product experiences, clear requirements, and measurable outcomes.

  • Ability to partner closely with engineering, design, clinical, content, analytics, commercial, and customer-facing teams.

  • Strong communication, analytical thinking,stakeholder-management, and influencing skills.

  • Curiosity and learning agility around AI, automation, emerging technologies, and responsible product development.

  • Ability to operate in ambiguity and make sound product decisions in complex, regulated healthcare environments.

Preferred Background

  • Experience with AI-enabled, data-driven, search, content, knowledge, or decision-support products.

  • Practical understanding of generative AI, retrieval-based systems, recommendation systems, workflow automation, or applied machine learning concepts.

  • Experience with clinical decision support, healthcare content, point-of-care tools, orprofessional-informationproducts.

  • Familiarity with human-in-the-loop workflows, responsible AI practices, model evaluation, or trust and safety considerations.

What Success Looks Like

  • AI-enabled CDS experiences help usersget torelevant, trusted information faster.

  • New capabilities improve adoption, engagement, user satisfaction, and measurable customer value.

  • Product teams have clear priorities, validated learnings, and actionable success metrics.

  • AI experiences are designed withappropriate transparency,evidencegrounding, and responsible use practices.

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$118,300.00 - $207,400.00 USDThis role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

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