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LenDenClub - Team Lead - Artificial Intelligence

4 months ago

Mumbai, India LenDenClub Full time

About LenDenClub :

LenDenClub is India's largest Peer-to-Peer (P2P) Lending platform, owned and operated by Innofin Solutions Pvt. Ltd. , an RBI-registered (NBFC-P2P).

It provides an alternate investment opportunity to investors or lenders looking for high returns by connecting them with creditworthy borrowers looking for short-term loans.


LenDenClub has become a go-to platform to earn returns of up to 12% p.

With an active user base of over 9.5 million and loan disbursal of over - 12,500 crores.

With ace cricketer Hardik Pandya as the brand ambassador, the platform is raising awareness about P2P lending amongst the larger population of the country.

Why work at LenDenClub :

At LenDenClub, we take pride in being the first Peer-to-Peer lending platform to offer ESOP liquidity, and this achievement has allowed us to set a new benchmark.

The progressive approach towards employee benefits has been acknowledged and appreciated and as a result, LenDenClub has been certified as a 'Great Place to Work' successively since two years by the Great Place to Work Institute, Inc.

As a LenDenite, you are a part of an enthusiastic and passionate group of individuals who own and love what they do.

At LenDenClub, we believe in creating leaders, and you get to work with complete freedom to chase your ultimate career goal without any inhibitions.

We remain committed to continuing our journey of innovation and fostering a positive work environment for our team.

Role Requirements :

- Hands-on experience in handling unstructured (image, video, audio) and build solutions using Deep Learning / Machine Learning

- Experience in implementing object detection, GANs.

- Knowledge of reinforcement learning is a plus.

- Good grasp and detailed knowledge of any one deep learning library (PyTorch, Tensorflow, Caffe, etc.) is a must

- Strong business acumen to understand business objectives & dynamics and possess excellent written and verbal communication skills for coordinating across teams

- Experience in analyzing complex problems and translating them to data science algorithms with due attention to computational efficiency and testing at scale.

- Experience in machine learning, supervised and unsupervised: Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Neural Networks, Deep Learning Algorithms.

- Work on end-to-end data science lifecycle: from building proof-of-concept models to production-ready models & working with engineers to deploy them to production

- Execute and take ownership of deep learning projects end-to-end.

- Good exposure to various deep learning algorithms and frameworks

- Should be able to effortlessly switch between roles of an Individual Contributor, team member, and data science manager as demanded by each project

- Keep updated on the latest research in AI and deep learning and find ways in which it can be used to solve business problems

- Must be able to read research papers (eg: some novel architectures, training techniques, etc.) and be able to implement it fully to solve our specific problems

(ref:hirist.tech)