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
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• 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. Youll be my engineering co-pilot: brainstorming architecture in the morning, shipping features by evening, and iterating on data models in between.

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• 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.
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• 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).
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• 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 networks backing.
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• HOW TO APPLY
• 1. Email [HIDDEN TEXT] 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; well review it together on a call.
• If you love turning ideas into working software and enjoy switching between code editors, notebooks, and strategy whiteboards, lets build the impossiblefaster.