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Job Location: Bangalore/Bengaluru
You are keen to contribute to building an ML platform that supports the next generation of models improving the detection of money laundering activities in financial transactions — banks, NBFCs, neobanks, crypto, etc.
Sample Activities:
- Improving the AutoML framework of the ML platform through auto-ensembling, bayesian optimization/genetic algorithms for hyperparameter tuning, etc.
- Improving the explainability framework for the ML platform
- Implementing scalable graph analysis framework
- Implementing state-of-the-art methods for anomaly detection
- Supporting the integration of models into products
About you:
ML DS
- Experience in collaborating with data scientists in developing ML solutions and taking solutions to production
- Experience in designing and building machine learning solutions spanning supervised and unsupervised learning methods and applying ML to real-world problems
- Experience with deep learning frameworks such as PyTorch, Tensorflow, Keras
Programming
- Strong programming skills and expertise in scala is a plus
Data Engineering
- Experience with Big Data analytics like Hadoop and Spark and ability to work in a big data ecosystem
Architecture
- Experience with building cloud-based or on-premise big data and machine learning platform services is a plus
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