Job Title : Staff Machine Learning Engineer - Content Team
Location : Gurgaon, India (Hybrid)
Job Type : Permanent In this Role, you will get to :
- 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.
What You'll need to Succeed :
- Bachelor's degree in computer science /information systems/engineering/related field
- 8 years of experience in software engineering with a minimum of 4 years in ML
- Good experience in Pyspark
- Expert level understanding of Python with design patterns and object-oriented programming.
- Experience debugging and reasoning about production issues is desirable.
- A good understanding of data architecture principles preferred.
- Any other experience with Big Data technologies / tools
- SQL experience
- Analytical problem-solving capabilities & experience.
- Systems administration skills in Linux
- A strong engineering driven mindset will be required to succeed in this role.
It's great if you have :
- Good understanding of Hadoop ecosystems
- Experience working with Open-source products
- Experience with Scala development
- Working in an agile environment using test driven methodologies