Python Developer (Intermediate)

Beekin is on a mission to make housing fair, affordable and efficient for millions of renters. Our platform leverages cutting edge machine learning, has helped thousands of renters find enduring communities and happy homes. It has also added millions of dollars in profit into the pocket of landlords, all with better data. We have multiple patents for our AI solutions, and are growing rapidly.

We are seeking a mid-level python Developer to join our engineering team -ideally based in Pune

As our future colleague,

You will be an engineer. You can understand and appreciate code to transform noisy real-world data into high-signal models that stand the test of time.

You will be a storyteller. You will communicate your insights in a way that resonates with your partners — including Beekin’s leadership — to turn theory into action.

You will be an entrepreneur. You will come to understand the nature of how real estate operates, and strive to make housing fair, transparent and affordable.

Our stack is modern day - AWS, Docker, Python, Javascript and you will embrace and contribute to it

A Beekin day for you, could mean

Having thoughtful discussions with Customer Success & Product to understand Usability requirements

Develop and automate model code

Troubleshoot production queries

Build reusable code and libraries for future use

Contribute actively to R&D and automation of the code base and scalability

Giving a human voice to machine learning models through code

Requirements

✔ 3–5 years of hands-on Python development (pandas, numpy, etc.)

✔ Ability to read, modify, and refactor existing codebases

✔ 2-5 years experience with SQL (writing queries, joins, data cleaning)

✔ Understanding of basic statistics, regression, or forecasting models

✔ Experience with API integrations, cron jobs, or data pipelines

✔ Comfortable working with git, pull requests, and code reviews

It would be nice if you also have:

▸ Experience with scikit-learn, XGBoost, LightGBM, or similar libraries

▸ Familiarity with AWS (S3, Lambda, Batch, CloudWatch)

▸ Experience deploying ML code into production (not just notebooks)

▸ Basic understanding of Docker or CI/CD tools

▸ Prior experience in pricing, forecasting, fintech, proptech, or SaaS products

Benefits

A career trajectory you can own

Training & Development

Work From Home (fully remote)

Competitive Leave Package