Software engineer intern
4 weeks ago
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 Skills Capital Skills Capital 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 $2 M+ 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, Num Py, etc. Some exposure to NLP, transformers, or LLMs (Hugging Face, Lang Chain, 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 Git Hub, Kaggle, or portfolio projects to Capital.io 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
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