ML Engineer

Location: Bengaluru,Karnataka,India

Responsibilities 

You are keen to contribute to implementing DS and engineering solutions that improve the detection of money laundering activities. Besides the research team, you will work closely with the engineering and product teams to deliver end-to-end products. Example projects are like: 

• Implementing AutoML framework applying to our AML use cases 
• Implementing a scalable graph analysis framework 
• Implementing state-of-the-art methods for anomaly detection 

Minimum qualifications: 

• Major in Computer Science or a related STEM field 
• Experience with one or more general-purpose programming languages: e.g. Python/Go/C++/Scala
• Experience 0-2 yrs,Relevant experience in ML

Preferred qualifications: 

• Experience with delivering end-to-end machine learning pipelines on large data sets in production 

About you:

You should have relevant experience to the role, as: 

• Strong programming skills 
• 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 Big Data analytics like Hadoop and Spark and the ability to work in a big data ecosystem is a plus
• Experience with building cloud-based or on-premise big data and machine learning platform services is a plus

More generally, we expect you to have the quality of the following: 

• Take strong ownership of your work and are driven to deliver the product end-to-end
• Excited about making an impact in building excellent products and have a strong curiosity 
• Collaborate with the product team and other stakeholders to build the right thing that can generate the most impact for our customers 
• Hold high standards and pursue excellence