Software Engineer Intern (AI/ML) - AI Powered Tech 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?

Software Engineer Intern (AI/ML)

💡 About SkillsCapital

SkillsCapital

first year

• 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 the next quarter — bootstrapped and profitable
• Covered the startup journey from

  0 → 1

  and

  1 → 10

  — now gearing up for

  10 → 100

product-focused

🧠 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

GitHub, Kaggle, or portfolio projects

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