AI/ML Intern
@ WillHire

Hybrid
$41,600
Hybrid
Intern
Posted 23 days ago

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Job Details

About WillHire

WillHire is a modern staffing and talent acquisition platform helping leading organizations find exceptional talent. We’re now expanding into the AI/ML vertical and are looking for curious, driven, and analytical minds to join us as part of our AI/ML Internship Cohort.

Role Overview

As an AI/ML Intern at WillHire, you will collaborate with our engineering and strategy teams to design data-driven solutions that power smarter hiring, workforce planning, and operational decision-making. This hands-on role involves working on real business datasets to build production-ready analytics models and dashboards.

Key Responsibilities

  • Collect, clean, analyze, and transform structured and semi-structured HR and recruitment datasets.
  • Build predictive models for talent forecasting, attrition risk, and candidate success scores.
  • Develop data visualizations, dashboards, and reports using Python, SQL, and BI tools.
  • Perform exploratory data analysis to uncover insights for recruitment strategies.
  • Work with time-series and cohort data for trend analysis and performance metrics.
  • Deploy statistical and ML algorithms in scalable pipelines.
  • Communicate findings with clear visual and written presentations to stakeholders.

Requirements

  • Pursuing or recently completed B.Tech/BE/M.Tech/MSc in Data Science, Computer Science, Statistics, or related fields.
  • Proficiency in Python and its core libraries (Pandas, NumPy, Matplotlib/Seaborn, Scikit-learn).
  • Familiarity with SQL for querying relational datasets.
  • Sound understanding of ML fundamentals including supervised and unsupervised learning.
  • Strong statistics foundation covering distributions, hypothesis testing, and probability.
  • Ability to interpret data, derive insights, and present conclusions clearly.
  • Strong communication skills, ownership mindset, and enthusiasm to learn.

Nice to Have (Bonus)

  • Knowledge of BI tools like Power BI, Tableau, Looker, or Metabase.
  • Basics of cloud platforms such as AWS, GCP, Azure or Docker.
  • Prior exposure to HR analytics or recruitment datasets.

What You’ll Get

  • Practical exposure to solving real-world data problems in HR Tech.
  • Experience working on high-impact product features used by recruiters and hiring managers.
  • 1:1 mentorship by experienced data scientists and access to premium resources.
  • Internship Certificate and Letter of Recommendation upon successful completion.
  • Opportunity for a Pre-Placement Offer at WillHire or client companies.

Hiring Process

  • Online Application: Submit your CV, GitHub/Kaggle links, and a brief note on your interest and experience.
  • Technical Assessment: An assignment testing Python, SQL, EDA, or modeling approach.
  • Technical Interview: A 45-minute in-depth discussion on ML, statistics, and problem-solving.
  • Managerial Interview: Evaluation of communication skills, culture fit, and motivation.
  • Offer: Selected applicants receive an offer outlining stipend details and project allocation.
  • Onboarding: Orientation, project setup, and mentoring begins.

Stipend

The minimum stipend starts at $20/hour, with the possibility of a higher rate based on performance in the interviews.

Key skills/competency

  • Python
  • SQL
  • Machine Learning
  • Data Analysis
  • Statistics
  • Data Visualization
  • EDA
  • Predictive Modeling
  • BI Tools
  • Communication

How to Get Hired at WillHire

🎯 Tips for Getting Hired

  • Customize your resume: Highlight AI, ML, and data project experiences.
  • Showcase technical skills: Emphasize Python, SQL, and analytics expertise.
  • Prepare for assessments: Practice coding, EDA, and model building.
  • Research WillHire: Understand their platform, culture, and industry.

📝 Interview Preparation Advice

Technical Preparation

Review Python libraries and frameworks.
Practice SQL queries and data manipulations.
Build small ML models and test algorithms.
Explore real datasets for exploratory analysis.

Behavioral Questions

Describe a challenge you solved with data.
Explain your teamwork and communication skills.
Discuss how you handle constructive feedback.
Share an experience of learning new technologies.

Frequently Asked Questions