Data & AI Generalist

We’re looking for someone who loves experimenting across the Data & AI spectrum — someone who may not be an expert in everything, but can figure out anything.

If you’ve dabbled in Python, R, TensorFlow, PyTorch, Scikit-Learn, XGBoost, and played with NLP, Computer Vision, or Anomaly Detection, we already like you.

You might not have mastered it all — but you’re curious, hands-on, and confident enough to make things work.

This role is perfect for someone who enjoys connecting dots across ML, analytics, and automation and loves building quick, smart prototypes.

What You’ll Work On

• Build and fine-tune ML models using 

  Scikit-Learn, TensorFlow, or PyTorch

  .
• Experiment with 

  NLP, OCR, and Computer Vision

   projects.
• Play around with 

  data visualization

   using 

  Tableau, Power BI

  , or any tool that gets the job done.
• Get your hands dirty with 

  SQL and NoSQL

   data pipelines.
• Implement quick predictive models — from 

  GLMs to XGBoost

   — for practical business use cases.
• Build mini data solutions or automation projects that solve real problems fast.

What We’re Looking For

• 1–2 years of experience (internships or freelance work count!).
• Strong base in Python and at least some exposure to R.
• Curiosity to explore and experiment across different AI/ML domains.
• Comfortable learning new tools quickly — even outside your comfort zone.
• Hands-on with self-projects, Kaggle work, GitHub experiments, or portfolio demos.
• A “figure it out” attitude more than a “wait for instructions” one.

Nice to Have

• Basic knowledge of cloud (AWS / GCP / Azure).
• Familiarity with APIs and deployment tools.
• Understanding of data pipelines and version control (Git).

What You’ll Get

• Freedom to explore — no rigid lanes.
• Opportunity to work on diverse, end-to-end projects.
• A team that values curiosity over credentials.
• Real impact — your work won’t sit in a folder.
• Flexible work culture and learning-driven environment.