Software Engineer Intern (AI / ML) - Global AI Powered Tech Talent Startup

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 workflows

Be involved in building AI-led intelligent matching, capability scoring, and vetting models

Collaborate directly with senior architects and engineers

Your 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 building

Potential 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 profiles

Contribute to semantic scoring models and search intelligence

Work on data pipelines, experimentation, model training, and deployment

Clean and process structured / unstructured data from CVs, JDs, and other inputs

Help us experiment with LLM-based intelligence components

Contribute 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 fields

Solid 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 plus

Familiarity with building and evaluating ML models in a structured manner

Understanding of version control (Git) and basic MLOps is a bonus

Available for a 3–6 month internship (full-time or substantial part-time)

What You’ll Get

Stipend based on performance and commitment

Live projects that go to production — not just experiments

Mentorship from industry veterans with deep product and AI backgrounds

Flexible remote work, fast learning, and ownership from Day 1

Potential 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

Please include :

Your availability (dates + hours / week)

A short note on why this role excites you

Confirmation that you’ve read the JD and are aligned with our expectations