Are you a passionate AI / ML enthusiast eager to work on real-world systems instead of toy models? Want to learn directly from experienced tech leaders while building solutions that are already impacting global clients?
Join us as a Software Engineer Intern (AI / ML) and contribute to the evolution of our AI-powered Talent Cloud — powering smart matching, intelligent screening, vetting engines, and scalable decision-making systems.
💡 About SkillsCapital
SkillsCapital is one of the fastest-growing AI-first tech talent platforms in the world. We help global clients hire fully vetted, on-demand tech talent and teams across enterprise technologies — SAP, Salesforce, Microsoft, Oracle, AI / ML, Cloud, and more.
In just our first year, we have :
- Achieved strong product-market fit and live customer traction
- Built a fast-scaling platform trusted by clients across the U.S., U.K., Europe, and the Middle East
- Are set to cross a $2M+ annual run rate in this quarter — bootstrapped and profitable
- Covered the startup journey from 0 → 1 and 1 → 20 — now gearing up for 20 → 100
You’ll be joining a company that’s product-focused, built by a world-class team with experience at IBM, Accenture, Trilogy, Deloitte, ESW Capital, Wharton, IIT Delhi, IIIT Hyderabad, BITS Pilani and more.
🧠 Why This Role is Unique
Work on real, production-grade AI / ML systems powering critical business workflowsBe involved in building AI-led intelligent matching, capability scoring, and vetting modelsCollaborate directly with senior architects and engineersYour work will go live, be used by real clients, and contribute to product evolution.Get exposure to end-to-end development, not just isolated model buildingPotential to extend into freelance / contract / full-time roles based on performance🔧 What You’ll Work On
Build and improve ML-powered matching and ranking systems for talent profilesContribute to semantic scoring models and search intelligenceWork on data pipelines, experimentation, model training, and deploymentClean and process structured / unstructured data from CVs, JDs, and other inputsHelp us experiment with LLM-based intelligence componentsContribute to end-to-end architecture, not just isolated code✅ What We’re Looking For
Final-year student or recent grad in Computer Science, AI / ML, Data Science, or related fieldsSolid programming skills in Python and experience with scikit-learn, Pandas, NumPy, etc.Some exposure to NLP, transformers, or LLMs (Hugging Face, LangChain, etc.) is a big plusFamiliarity with building and evaluating ML models in a structured mannerUnderstanding of version control (Git) and basic MLOps is a bonusAvailable for a 3–6 month internship (full-time or substantial part-time)💰 What You’ll Get
Stipend based on performance and commitmentLive projects that go to production — not just experimentsMentorship from industry veterans with deep product and AI backgroundsFlexible remote work, fast learning, and ownership from Day 1Potential to transition into a freelance or full-time role after the internship📩 To Apply
Send your resume and links to GitHub, Kaggle, or portfolio projects to careers@SkillsCapital.io
Please include :
Your availability (dates + hours / week)A short note on why this role excites youConfirmation that you’ve read the JD and are aligned with our expectations