What you’ll do:
- Research and develop state-of-the-art machine learning and neural network algorithms to solve complex privacy and security-related challenges.
- Implement the research products of the data science team as scalable production services and machine learning models.
- Build products that extract insights out of petabyte-scale databases. These insights help our customers to better control and protect their databases.
What you’ll bring:
- B.Sc./M.Sc. in Computer Science, Mathematics, Statistics, or equivalent.
- Highly proficient in Python.
- 5+ years of proven experience in Machine Learning, Statistical Modelling, and Pattern Recognition.
- Proven experience in bringing an ML algorithm from idea to productization.
- Experience with open source Machine Learning toolkits: TensorFlow, keras, scikit-learn, pandas, Numpy.
- Team player, willing to work in a dynamic start-up environment.
- Reliable self-starter capable of working with a high degree of autonomy.
Advantages:
- Experience with data engineering - strong advantage.
- Experience with LLMs, prompt engineering, agentic workflows - strong advantage.
- Experience in document clustering/sentiment analysis/word vectors/embedding - strong advantage.
- Experience with NoSQL and BigData - Hadoop/Hive/HBASE, Cassandra, MongoDB, etc. - advantage.
- Experience with distributed architecture, microservices, message queues, REST API - advantage.
Our people are the foundation of our success, and we prioritize offering a wide range of benefits that make our team happier and healthier.
- Equity participation - everyone shares in our success
- Hybrid work
- Opportunities for professional growth
- Team fun & company outings
- Statutory benefits and leave benefits
- Health Insurance coverage
Our Values:
We look for people who embody our values - Care, Do, Try & Shine.
- - Wecareabout our customers and each other
- Do- Wedowhat it takes to make a positive impact
- Try- Wetryour best and we don’t give up
- Shine- Weshine