About the Role
Role details below.
Responsibilities
- Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes.
- Build, administer and scale ML processing pipelines.
- Be comfortable navigating the following technology stack: Python3, Pyspark, scripting (Bash/Python), Hadoop, SQL, S3 etc.
- Should be able to understand internals of ML models such as Random Forest, CNN, Regression models, etc
- Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality.
- Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks.
- We believe in end-to-end ownership; this role will involve taking ML models to production at a scale.
Benefits
- relocation provided
Additional Information
- This role is based in Gurgaon, India.
- Relocation provided.
- Data and technology are at the heart of our culture, fueling our curiosity and innovation.
- We work across structured and non-structured data at scale.
- Our current ML models process millions of images every day to try and enhance the experience that our users get from our app.
- We focus on software engineering related to data replication, storage, centralized computation, and Data API’s.
- We are equ
