Python Developer

Mai Labs is a startup with the ambitious goal of creating the next Internet. We are dedicated to empowering the next billion users and democratizing the creation and unlocking of value on the Internet. With human interactions at the core, our technology acts as an enabler to unlock new opportunities for all Internet users, not the privileged few.

Our portfolio includes a range of innovative products, including an internal blockchain, commercial products on tokenization, digital asset creation, IPR protection, and web 3.0 applications. Our other business is creating an immersive platform to help creators craft immersive environments and assets, and a work-in-progress immersive realm.

Who We Are:

We are building a trust-based, people-centric Company with a focus on Users. Our team is proud to be building towards Made-in-India, building inclusive & compliant products for everyone in the community. We believe that People are the core of our business, they build, they collaborate, they innovate, and they surprise themselves by becoming the best version of themselves.

Role: Python Developer (SDE-II)

Location: Remote/Hybrid

About the Role:

We are looking for a senior Python Developer with scripting prowess and a foundational knowledge of Artificial Intelligence (AI) and Machine Learning (ML). The ideal candidate will create efficient scripts, automate tasks, and contribute to simple AI/ML workflows.

What You Will Do:

You will write clean and efficient Python scripts for complex data forecasting/automating processes.

Assist in building AI/ML modelling using libraries like TensorFlow, PyTorch, or Scikit-learn.

You will be part of the team to create backend services and utilize both SQL & NoSQL databases.

Preprocess, clean, and manipulate datasets for analysis.

Implement, test, and validate simple algorithms or models.

Skills & Qualifications:

Bachelor's degree in Computer Science, Data Science, or a related field (or equivalent experience).

4+ years of experience in Python programming and scripting.

Proficiency in Data structures, algorithms and data level designing.

Experience with libraries like Pandas, NumPy, Scikit-learn, or similar tools.

Preferred understanding of basic statistics and linear algebra.

Good to have exposure to cloud platforms (e.g., AWS, GCP) and their AI/ML tools.

Good to have basic knowledge of API development and integration.