Data Scientist/ml Engineer Job in Paytm

Data Scientist/ml Engineer

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Job Summary About Us: https://paytm.com/about-us/
Why Us:Looking for a company that encourages passion, courage and imagination, where you can be part of the team crafting the future of payments, ecommerce, and financial services? Want to craft how millions of people transact, buy, sell, connect, and share? If youre passionate about building large scale recommendation engines, fraud detection, discovery, and joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join Paytm a company you can be proud to be a part of.
About Team:
The ML team within Paytm provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and the cloud. As an ML engineer, you'll partner with technology and business teams to build new services that surprise and delight our customers. You will be working with massively large data to solve real-world problems. You'll design and run experiments, research new algorithms, and find new ways of recommendations, optimizing risk, profitability, and customer experience.
Were looking for top data scientists capable of using ML and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
Experience Required: 4-8 yrsJob Location: India
Responsibilities
Use deep learning, machine learning and analytical techniques to create scalable solutions for business problems
Have excellent Programming/Debugging skills in Python/Java/Scala.
Have strong hands-on experience with Hadoop, MapReduce, Hive, Spark, Flink.Design, develop, evaluate, and deploy innovative models for predictive learning, content ranking, Credit scoring and fraud detection.
Interact with customers directly to understand the business problem, help and aid them in implementation of DL/ML algorithms to solve problems.
Analyze and extract relevant information from large amounts of data to help automate and optimize key processesActively identify new areas where data science can be leveraged across the organization.
Hands on experience building models with frameworks like Tensorflow, Caffe, Theano, etc.The motivation to achieve results in a fast-paced environment.
For more Information please connect on [email protected] for this job
Experience Required :

Fresher

Vacancy :

2 - 4 Hires

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