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We're Hiring: Data Science & AI Engineering Intern | Remote | TalentSpotify TalentSpotify is an AI-powered performance and talent intelligence platform helping organizations retain top performers through fair, data-backed performance management. We're the team behind TARA an AI engine that analyzes completed employee-manager review transcripts to detect 14+ cognitive and behavioral bias patterns, giving leaders transparent, defensible reviews without replacing HR judgment. We're Stanford Seed-backed, DPIIT-recognized, and building for India's SMB market. We're looking for a Data Science & AI Engineering Intern to work directly on TARA's bias-detection pipeline and our broader AI stack. What you'll do: Assist in data preprocessing, model experimentation, and evaluation for TARA Contribute to AI-driven product features and RAG pipelines Support research on bias detection and performance analytics Turn KPI and usage data into decision-systems teams actually trust Work with MongoDB, AWS, and contribute to React/Node components What we're looking for: Strong Python Pandas, NumPy, scikit-learn Hands-on experience with RAG and current AI tooling Working familiarity with MongoDB and AWS Basic working knowledge of React and Node Logical thinking and genuine curiosity for ambiguous problems Currently pursuing or recently completed a degree in CS/Engineering/IT or equivalent practical experience strong project/GitHub portfolio counts Clear written communication remote, distributed team, async-first Program structure: 9-month cohort in 3 equal phases 3 months training, 3 months fixed responsibilities, 3 months higher-reward. Exceptional performers get promoted early. Stipend details shared at offer stage. Step away after training and you still walk away with a completion certificate. Apply by 10 August talentspotify.com/careers #Hiring #AIInternship #DataScience #HRTech #RemoteInternship #Bengaluru #StartupJobs .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.