AI/ML Intern
@ WillHire

Hybrid
$50,000
Hybrid
Intern
Posted 23 days ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXXX****** @willhire.com
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Job Details

About WillHire

WillHire is a modern staffing and talent acquisition platform helping leading organizations find exceptional talent. We are now expanding into the AI/ML vertical and are looking for curious, driven, and analytical minds to join 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 is a hands-on role working with real business datasets to build production-ready analytics models and dashboards.

Key Responsibilities

  • Collect, clean, analyze, and transform structured & 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 & BI tools
  • Perform exploratory data analysis to uncover insights for recruitment strategies
  • Work with time-series & cohort data for trend analysis and performance metrics
  • Deploy statistical and ML algorithms in scalable pipelines
  • Communicate findings and recommendations to stakeholders using clear visuals and written summaries

Requirements

  • Pursuing or recently completed a B.Tech/BE/M.Tech/MSc in Data Science, Computer Science, Statistics, or related fields
  • Proficiency in Python and core libraries (Pandas, NumPy, Matplotlib/Seaborn, Scikit-learn)
  • Familiarity with SQL for querying relational datasets
  • Sound understanding of ML fundamentals including supervised and unsupervised methods
  • Strong foundation in statistics including 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)

  • Experience with BI tools (Power BI, Tableau, Looker, Metabase)
  • Basics of cloud platforms (AWS, GCP, Azure) or Docker
  • Prior exposure to HR analytics or recruitment datasets

What You’ll Get

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

Hiring Process

  • Online Application: Submit CV, GitHub/Kaggle links, and a brief note detailing your interest and experience
  • Technical Assessment: Assignment testing Python, SQL, EDA, or modeling skills
  • Technical Interview: 45-minute interview assessing ML/statistics understanding and problem-solving
  • Managerial Interview: Evaluates communication, cultural fit, and motivation
  • Offer: Selected applicants receive an internship offer with stipend details and project allocation
  • Onboarding: Orientation, project assignment, and setup with tools and mentors

Stipend

Minimum stipend starts at $25/hour, with potential for a higher rate based on interview performance.

Key skills/competency

  • Python
  • SQL
  • Machine Learning
  • Data Analysis
  • Statistical Modeling
  • Data Visualization
  • Exploratory Data Analysis
  • HR Analytics
  • Predictive Modeling
  • Communication

How to Get Hired at WillHire

🎯 Tips for Getting Hired

  • Research WillHire's culture: Study their mission, values, and recent news on LinkedIn.
  • Customize your resume: Highlight Python, SQL, and ML projects.
  • Showcase practical experience: Include analytics project details.
  • Prepare for technical interviews: Practice Python, SQL, and data analysis challenges.

📝 Interview Preparation Advice

Technical Preparation

Review Python libraries and ML fundamentals.
Practice SQL queries and data extraction.
Work through data cleaning exercises.
Build small predictive models and dashboards.

Behavioral Questions

Describe a time you solved a data problem.
Explain your experience working in teams.
Discuss handling tight deadlines in projects.
Share how you learn new technologies.

Frequently Asked Questions