Associate AI Specialist, Level II

7 Minutes ago • Upto 2 Years
Research Development

Job Description

The Associate AI Specialist is an entry-level position supporting the development and deployment of AI-driven solutions. This role involves data preparation, model experimentation, and automation initiatives, working with senior data scientists and engineers. The specialist will gain hands-on experience in machine learning, data workflows, and project execution, evolving into a full-fledged AI practitioner. It requires foundational programming and computational methodology knowledge, with a strong desire for growth.
Good To Have:
  • Familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)
  • Knowledge of SQL or other database systems
Must Have:
  • Assist in building, testing, and deploying AI models under guidance from senior team members
  • Support data cleaning, preprocessing, and transformation tasks for machine learning pipelines
  • Apply programming skills (e.g., Python, R) to automate data workflows and model evaluation
  • Collaborate with cross-functional teams to understand project requirements and deliver solutions
  • Document experiments, model performance, and project outcomes clearly and concisely
  • Participate in code reviews, team discussions, and learning sessions to enhance technical skills
  • Contribute to the development of internal tools and libraries for AI experimentation
  • Stay updated on emerging AI technologies and best practices
Perks:
  • Hybrid work environment (four days in-office each week in most locations)
  • Range of other benefits available to enhance flexibility

Add these skills to join the top 1% applicants for this job

cross-functional
communication
data-analytics
talent-acquisition
game-texts
data-science
scikit-learn
pytorch
python
sql
tensorflow
machine-learning

The Role:

The Associate AI Specialist is an entry-level position designed for individuals passionate about artificial intelligence, data science, and computational problem-solving. This role supports the development and deployment of AI-driven solutions across business units, contributing to data preparation, model experimentation, and automation initiatives. Working closely with senior data scientists, engineers, and project managers, the Associate AI Specialist will gain hands-on experience in applying machine learning techniques, managing data workflows, and supporting AI projects from concept to execution.

This is a growth-oriented role ideal for candidates with foundational knowledge in programming and computational methodology, and a strong desire to evolve into a full-fledged AI practitioner.

Responsibilities:

  • Assist in building, testing, and deploying AI models under guidance from senior team members
  • Support data cleaning, preprocessing, and transformation tasks for machine learning pipelines
  • Apply programming skills (e.g., Python, R) to automate data workflows and model evaluation
  • Collaborate with cross-functional teams to understand project requirements and deliver solutions
  • Document experiments, model performance, and project outcomes clearly and concisely
  • Participate in code reviews, team discussions, and learning sessions to enhance technical skills
  • Contribute to the development of internal tools and libraries for AI experimentation
  • Stay updated on emerging AI technologies and best practices

Requirements:

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
  • 0–2 years of experience in data science, machine learning, or AI-related roles
  • Practitioner-level proficiency in programming (Python, R, or similar) and computational methodology
  • Learner-level understanding of statistical analysis, data cleaning techniques, and data management tools
  • Familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) is a plus
  • Strong analytical thinking and problem-solving skills
  • Effective communication and collaboration abilities in a team environment
  • Eagerness to learn and grow in a fast-paced, innovation-driven setting
  • Knowledge of SQL or other database systems is an advantage

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

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About Us

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Step 1

When you find a position you're interested in, click the 'Apply' button. Please fill out this form completely, attaching your resume and cover letter in the approved format. Read the job requirements carefully and make sure to attach writing or design samples as required. Applicants must submit their resume and other information through our corporate website to be considered for a job at Morningstar. No phone calls, please.

Step 2

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Step 3

If you are called in for an interview, a representative from Morningstar will contact you to set up a date, time, and location. Be prepared for a rigorous interview process. To make sure you're a good fit for Morningstar and we're a good fit for you, we'll schedule time for you to meet with multiple staff members at all levels of the company. Expect to return for multiple interviews as part of the process. A representative from Morningstar will contact you with the results of your interview—either with a job offer or to let you know our plans for the position.

Applicants With Disabilities Who Need Accommodation

Morningstar is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please call +1 312 384-3900 or email AskHR@morningstar.com and let us know the nature of your request and your contact information.

Please note:

  • We only accept calls from applicants who need accommodation related to a disability. Please, no calls with unrelated questions or requests.
  • Please be sure to include the title and location of the open position you’re interested in when you leave a message.

US Applicants: Morningstar is an E-Verify program participant.

Learn more:

Morningstar is strongly committed to creating and preserving equal opportunity for all employees and applicants. We make all employment decisions—including recruitment, hiring, compensation, training, promotion, transfer, discipline, termination, and other personnel matters—without regard to race, color, ancestry, religion, sex, national origin, age, disability, protected veteran status, marital status, sexual orientation, genetic information, citizenship, gender identity and expression, parental status, or other legally protected characteristics or conduct.

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