Data Scientist - Deep Learning

JD – Data Scientist (Deep Learning): First Livingspaces

About The Chatterjee Group The Chatterjee Group (TCG) has an enviable track record as a strategic investor, with

businesses in many sectors. Founded by Dr. Purnendu Chatterjee in 1989, the Group

specializes in the Petrochemicals, Pharmaceuticals, Biotech, Financial Services, Real Estate

and Technology sectors in the US, Europe and South Asia. It provides end-to-end product and

service capabilities through its investments and companies in these sectors. TCG is one of the

biggest PE groups in the country with significant brand presence abroad and in India.

About The Company – First Livingspaces First Livingspaces is a fully owned subsidiary of the TCG group . First Living Spaces is an AI first

company which intends to create an ecosystem for daily living needs and necessities. We want

to simplify the life of an individual who intends to rent, buy or Co-live, and provide all

amenities for a happy seamless living. We are building a large universe, powered by

technology at the core.

About The Role In this role, you will have the potential to define and shape the AI strategy for India’s first real

estate ecosystem of developers, brokers, societies, and most importantly, people like you –

the end customer!

If you are excited about the prospect of being the go-to person for deep learning applications

on a data science team, and willing to take end-to-end ownership of all machine learning

problems, this is already a good fit!

You will get to join an innovative team that develops models which will influence both our

products and clients. You’ll be expected to execute in the face of ambiguity, shifting priorities,

and limited resources.

Responsibilities

• Architect, develop, and deploy advanced deep learning models using PyTorch or

TensorFlow for cutting-edge applications in areas such as computer vision, natural

language processing, and generative AI.

• Optimize model performance with state-of-the-art techniques like model

quantization, distillation, transfer learning, or multi-GPU training.

• Along with product managers, own the business outcomes/metrics which the data

science model/algorithm drives.

• Stay abreast of the latest advances in ML research with a goal of incorporating

state of the art advancements wherever beneficial.

• Communicate results and ideas to key decision makers.

Requirements

• 2+ years of hands-on experience in data science, machine learning, or deep learning.
• Proficiency in PyTorch or TensorFlow; strong coding skills in Python and familiarity

with libraries such as HuggingFace, OpenCV and Scikit-Learn.

• Solid understanding of the mathematics related to data science – statistics, probability,

linear algebra, etc.

• Experience with cloud platforms (AWS, GCP, Azure) is a plus.
• Existing publication record in top-tier ML/AI conferences or contributions to opensource

ML projects is highly appreciated.

Why Join Us?

• Work on impactful projects leveraging cutting-edge AI technologies.
• Your work here won’t sit in a sandbox — see your models deployed at scale, making

a tangible difference in the real world.

• Competitive compensation, perks, and a flexible, inclusive work environment.