Tech and Data Science Intern

JOB TITLE

Full-Stack Engineering & Data Science Intern

LOCATION

100 % remote work from anywhere

DURATION

36 months (option to extend or convert to full-time)

REPORTS TO

Vivek Gupta (Founder / CTO) you will work directly with me every day

WHY THIS ROLE

I move fast on MVPs that blend software engineering with applied data scienceAI-powered micro-services, vector search back-ends, real-time dashboards, and proof-of-concept apps for clients in logistics, fintech, and health. You'll be my engineering co-pilot: brainstorming architecture in the morning, shipping features by evening, and iterating on data models in between.

RESPONSIBILITIES

Build and refine full-stack prototypes: Next.js or React front-ends, TypeScript/Node or Python services, Postgres/Mongo/Weaviate data layers, CI on GitHub/GitLab.

Perform data science and ML tasks: quick EDA, feature engineering, small model training/testing (LLMs, tabular, or CV) and integration into products.

Handle cloud ops: containerize, deploy, and monitor on Azure, AWS, GCP, or Vercel/Fly.io.

Own projects end-to-end: from whiteboard to usable demo, incorporating rapid customer feedback.

Write concise technical docs: READMEs, notebooks, and short Loom walkthroughs for hand-off.

QUALIFICATIONS

Must-Have

Strong grasp of modern web stack (JavaScript/TypeScript or Python).

Comfort with SQL plus one NoSQL or vector database.

Hands-on Git/GitHub workflow experience.

Solid intuition for data wrangling and analysis (pandas, NumPy, scikit-learn).

Ability to self-drive deliverables in an asynchronous, fast-paced setting.

Clear written and spoken English.

Nice-to-Have

Experience with Next.js, tRPC, or GraphQL.

Familiarity with Cube, Microsoft Fabric, or dbt.

DevOps basics (Docker, GitHub Actions).

Exposure to OpenAI, LLaMA, or RAG pipelines.

Prior hackathon or startup experience.

Tasteful eye for UX/UI (Tailwind, shadcn/ui).

WHAT YOU WILL GAIN

Daily mentorship at the cutting edge of full-stack and AI product development.

Rapid learning curve across engineering, MLOps, and product thinking.

Visible impactyour code will ship to production pilots for enterprise clients.

Flexible hoursoverlap 34 hours per day for pairing; otherwise async.

Competitive stipend tied to clear milestones.

Potential pathway to extend, join full-time, or spin up your own venture with my network's backing.

HOW TO APPLY

1. Email [Confidential Information] with the subject line: FS-DS Intern .

2. In the email include:

One short paragraph on why this internship excites you.

Links to your GitHub, a project/demo you are proud of, and/or a brief Kaggle or blog write-up.

Earliest start date and weekly availability.

3. Short-listed candidates will complete tests and a two-hour take-home mini-build; we'll review it together on a call.

If you love turning ideas into working software and enjoy switching between code editors, notebooks, and strategy whiteboards, let's build the impossiblefaster.