What you would possess already:

• Previous product analysis experience.
• Hands-On experience on Database query languages ex. SQL is a must have
• Python or equivalent knowledge is a must have
• Proficient in database software.

Roles and Responsibilities:

1. Develop and maintain automation systems for reporting and dashboarding
2. Collaborate with product and technology teams to drive data governance and quality
3. Collaborate with product and technology teams on the data platform roadmap

Responsibilities:

• Automate new Provisioning and Scale Up of infrastructure components on AWS or GCP (EC2, RDS , Kafka, etc)

• Research & implement new solutions for helping increase deployment speed, scaling of Kubernetes infrastructure, cost optimization of infrastructure.

Roles and Responsibilities:-

• To manage the portfolio of the assigned geography.
• Follow up with delinquent cases personally, along with collection manager, along with collection agencies team & ensure resolution of the cases.

• The role requires maintaining and managing relationships with banking partners and ensure scale up of the partnerships
• Work in tandem with the product team to identify suitable product solutions needed for our partners while leveraging our internal capabilities

Responsibilities:

• Develop AI applications that will bring about efficiencies in Lendingkart’s business processes and operations, which may include building new computer vision, speech-to-text and natural language applications

• Development of ASR engine using frameworks like PyTorch or Tensorflow

Skills:

• (4-6) years of work exp
• Java / Scala & Python work ex is optional
• Should have working exp on the following areas :-
• Distributed columnar data bases like Redshift, Cassandra, HBase etc.

Responsibilities:

• Drive discussions to create/improve the product, process, and technology
• Build abstractions and contracts with separation of concerns for a larger scope
• Rapid prototyping

Key qualities

 

• Worked on projects in multiple teams, products and systems at the same time

 

• The complexity of systems and products involved in their work should have been to support a director of engineering in execution.