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Ingredion

AI Solutions & Value MBA Intern

Westchester, IL · On-site

$15 - $19.75/hr

HybridThe AI Solutions & Value MBA Intern will join Ingredion's AI for Business Excellence (AIBE) team to help identify, design, value, and deliver AI and agentic solutions that drive digital ...

Weekday AI

Maths (Masters or PhD) AI trainer

$110 - $130/hr

We are currently helping hire for one of the leading AI labs (via one of our partners); helping them train their AI models. Have you been curious as to how LLMs generate expert answers and would you ...

Leland

MBA Admissions Coach

We help businesses become AI-native through training, hiring, and infrastructure. Since our ... We're seeking an experienced MBA admissions coach to work with applicants preparing to apply to ...

United Airlines

$18.50 - $25/hr

Must be a candidate for MBA (Masters of Business Administration) or Masters (preferred supply chain ... Proficiency in using AI tools * Excellent written and verbal communication skills * Shown social ...

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Ai Masters information

What is an AI master?

AI Masters are professionals who have advanced expertise in artificial intelligence, typically holding a master's degree focused on AI, machine learning, or data science. They design, develop, and implement AI algorithms and systems to solve complex problems in various industries such as healthcare, finance, and technology. AI Masters work on tasks like building predictive models, natural language processing, computer vision, and robotics. Their strong analytical and programming skills enable them to translate business needs into AI solutions. They often collaborate with data scientists, engineers, and business stakeholders to drive innovation and efficiency.

What are the key skills and qualifications needed to thrive as an AI master?

To thrive as an AI Specialist, you need strong analytical skills, expertise in mathematics and programming (often Python), and typically a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), data analysis tools, and relevant certifications (such as AWS Certified Machine Learning) is highly valuable. Creative problem-solving, collaboration, and effective communication are essential soft skills to translate complex findings into actionable insights. These abilities are crucial for developing innovative AI solutions and ensuring their successful integration within organizational goals.

What are some common challenges faced by AI masters when collaborating with interdisciplinary teams?

AI Masters often work alongside professionals from diverse backgrounds such as data engineering, product management, and domain experts. One common challenge is bridging the communication gap between technical and non-technical team members to ensure AI solutions align with business objectives. Additionally, AI Masters may need to balance the technical feasibility of models with real-world constraints like data availability and ethical considerations. Navigating these challenges requires strong communication skills, adaptability, and a collaborative mindset.

What is the difference between Ai Masters vs Data Scientists?

AspectAi MastersData Scientists
Required CredentialsTypically advanced degrees in AI, machine learning certificationsDegrees in data science, statistics, or related fields; certifications also common
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, research, and data-driven departments
Industry UsageAI product development, machine learning applicationsData analysis, predictive modeling, insights generation

Ai Masters focus on developing and implementing AI algorithms and systems, often requiring specialized knowledge in machine learning and deep learning. Data Scientists analyze data to extract insights, build models, and support decision-making. While both roles involve data and programming, Ai Masters are more specialized in AI technology development, whereas Data Scientists focus on data analysis and interpretation.

What jobs can I get with a master's in AI?

A master's in AI qualifies you for roles such as AI engineer, machine learning engineer, data scientist, and research scientist. These positions typically require skills in programming, data analysis, and familiarity with AI frameworks like TensorFlow or PyTorch, often involving project development and model deployment.

What are popular job titles related to Ai Masters jobs?

For Ai Masters jobs, the most frequently searched job titles are:

Infographic showing various Ai Masters job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Masters ML Engineering Intern

Indianapolis, IN • On-site

Eli Lilly and Company
Pharmaceutical Product Wholesalers • 10K+ employees
Learn more about Eli Lilly and Companyexternal

$16 - $20.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Eli Lilly and Company rating

8.9

Company rating: 8.9 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

Job description

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work-but it's work worth doing. If you're driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.
Organization Overview
At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work-but it's work worth doing. If you're driven by purpose and ready to bring your best to work that truly matters for patients.
Functional Overview
Tech@Lilly builds and maintains capabilities using cutting edge technologies like most prominent tech companies. What differentiates Tech@Lilly is that we redefine what's possible through tech to advance our purpose - creating medicines that make life better for people around the world, like data driven drug discovery and connected clinical trials. We hire the best technology professionals from a variety of backgrounds, so they can bring an assortment of knowledge, skills, and diverse thinking to deliver innovative solutions in every area of our business.
The Advanced Intelligence organization sits at the forefront of Lilly's AI transformation, driving artificial intelligence and machine learning to revolutionize how we discover, develop, and deliver medicines to patients. Leading initiatives from AI-enabled laboratories to Kernel Lilly-the AI-enabled research infrastructure stack serving as the operating system for pharmaceutical research-to strategic partnerships with world-class technology companies, to proprietary foundation models trained on Lilly's research data, this team is building the technical foundation for AI-powered R&D. With deep expertise in cutting-edge AI technologies and pharmaceutical science, Advanced Intelligence is transforming Lilly into an AI-first drug discovery organization, accelerating breakthrough treatments to patients.
You will work as a member of the ML Engineering team supporting Lilly's Research AIOS, reporting to a Staff Engineer or Engineering Director. You will contribute to platform capabilities across one or more of the five domains (Data, Compute, Model, Experience/Workflow, and Instrumentation)-building features, fixing bugs, writing tests, and learning how large-scale AI systems are designed and operated in a regulated pharmaceutical environment. Your work will help shape an ecosystem that is foundational to how research teams at Lilly utilize AI.
Basic Qualifications
  • Currently pursuing a Master's degree in Computer Science, Engineering, Mathematics, or related field.
  • Completion of at least 2 years (junior standing) in an undergraduate program, or currently enrolled in a graduate program
  • Coursework or project experience in at least one of: machine learning, distributed systems, data engineering, or software systems design
  • Familiarity with at least one cloud platform (AWS, GCP, Azure) or containerization (Docker, Kubernetes)
  • Available for 10-12 weeks full-time engagement between May-September 2027
  • Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.

Additional Preferences
  • Prior experience using AI tools (e.g., generative AI platforms, automation tools, or AI-assisted research/analytics tools) in an academic, project, or work setting

How You'll Succeed
Contribute to the design, implementation, and testing of platform capabilities within your assigned domain.
  • You will build and ship features for an AIOS platform within your assigned domain, under guidance from your mentor
  • You will write well-tested, production-quality code following team architectural standards and design patterns
  • You will participate in code reviews, design discussions, and sprint ceremonies

Learning & Growth
Develop technical depth in ML systems engineering while gaining pharma R&D context.
  • You will gain hands-on experience with one or more of the following: agent orchestration frameworks, model serving, data pipelines, and observability infrastructure
  • You will learn how architectural decisions impact platform performance, scalability, and usability across research use cases
  • You will document your work and share learnings with the broader team

Collaboration
Work effectively within a cross-functional engineering team.
  • You will pair with senior engineers on complex problems, asking questions and contributing ideas
  • You will participate in stand-ups, retrospectives, and planning sessions
  • You will present your intern project outcomes to the team and leadership at the end of the rotation

What You Should Bring
  • Curiosity about AI/ML systems and how they're built at scale
  • Foundational programming skills in Python, Go, or TypeScript
  • Exposure to machine learning concepts (coursework, personal projects, or research)
  • Familiarity with version control (Git) and collaborative development workflows
  • Strong communication skills - ability to ask good questions and document what you learn
  • Self-direction balanced with knowing when to ask for help
  • Interest in pharmaceutical research or life sciences applications of AI (preferred, not required)
  • As part of Lilly's commitment to innovation, interns will have the opportunity to build fluency with AI tools used across the business. We expect interns to approach these tools with curiosity, apply critical thinking to AI-assisted work, and always prioritize accuracy, confidentiality, and ethical standards in how they use them.
  • Lilly arranges various intern activities including sporting events, dinners, lunch and learns, volunteer activities etc. to provide opportunities for socializing, professional development, and learning more about Lilly.
  • Interns will receive 1 week of paid time off during the Lilly summer shut-down (July 5th - July 9th)
  • 1:1 mentoring from an experienced professional in the function
  • Interns will receive a competitive salary and free parking at their work site, as well as access to Lilly's LIFE fitness center, bike garage, and many other discounts
  • If the intern's job position requires a move from another location, Lilly will provide subsidized housing

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women's Initiative for Leading at Lilly (WILL).
Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is
$85,000 (Masters) annually
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
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About Eli Lilly

Sourced by ZipRecruiter

Eli Lilly, based in Indianapolis, IN, US, is one of the pioneers in the pharmaceutical industry with a rich history dating back to 1876. This global pharmaceutical company focuses on discovering, developing, manufacturing and selling pharmaceutical products in approximately 120 countries. The company's product categories include endocrinology, oncology, cardiovascular, neuroscience, and immunology. Having invested over $9 billion in research and development in the past decade, Eli Lilly is also committed to creating high-quality medicines that meet real needs. As a recipient of several awards and recognitions, Eli Lilly is known for its focus on life-saving research and drug development. Their mission is to make medicines that help people live longer, healthier, and more active lives.

Industry

Pharmaceutical product wholesalers

Company size

10,000+ Employees

Headquarters location

Indianapolis, IN, US

Year founded

1876

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