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Job Type
Full Time -
Experience
8-10 year -
Salary
₹90,000 - ₹250,000 / Month -
Location
Bangalore, Karnataka, India -
Job Function
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Industry
Information Technology -
Qualification
Key Skills
Aartificial intelligence, Apache Hadoop, Data science techniques, Deep Learning, Large data sets, Machine learning techniques, Python Programming, PyTorch, SPARK Programming, Spark-SQL, SQL, TensorFlow
Job Description
The role offers to develop Machine Learning based automated alerting to detect the anomalies across merchant & consumer domains along with identifying the root cause so that businesses can take proactive actions. The Role would also demand constant process improvement, working with scalable platforms for model deployment, Application of Gen-AI based proactive insight generation & bringing Thought Leadership/Innovation in the current alerting eco-system.
Meet our team:
At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.
PayPal’s nascent Intelligent Alerting team is responsible for providing automated alerts to detect the anomalies along with identifying the root cause so that businesses can take proactive actions. This team leverages state of the art machine learning techniques to solve challenging and impactful business problems across merchant & consumer domains. This position is newly created to support the expanding scope of the team.
Job Description:
Your way to impact
Seeking a talented and driven Machine Learning Engineer / Data Science Manager to join PayPal’s nascent Intelligent alerting team. Ideal candidate will have a strong background in developing and implementing machine learning algorithms. We leverage state of the art machine learning techniques to solve challenging and impactful business problems on anomaly detection around consumer & merchant domain. This position requires the ability and curiosity to learn various advanced AI/ML techniques. The Role would also demand constant process improvement, working with scalable platforms for model deployment, Application of Gen-AI based proactive insight generation & bringing Thought Leadership/Innovation in the current alerting eco-system
Your day to day
- Developing state-of-the-art Machine Learning solutions to solve alerting business problems
- Working with team and stakeholders to formulate business challenges into data science and machine learning problems
- Productionizing and automating large scale end-to-end data solutions in close collaboration with our engineering & platform teams
- Present findings and recommendations to business partners and senior leadership
- Mentor and manage a group of data scientists.
What do you need to bring-
- 7+ years of overall experience
- Strong SQL & Python skills to manipulate and extract data
- In-depth hands-on Individual Contributor experience in building Machine Learning (ML), Deep Learning and Time Series Forecasting Models
- Tech stack could be anything within the data science realm - Experience with ML platforms such as Tensorflow, PyTorch, etc.
- Prior work experience in delivering anomaly detection solutions
- 2/+ years of people management exposure
- Ability to work effectively both independently and in a team environment
- Strong communication skills and willingness to take initiative to contribute beyond basic responsibilities is a must-have
- Exposure to handle large data-sets - Experience in Data Engineering Skills, Shell scripting experience, Work experience in Hadoop, Spark, Spark-sql, Scala will be considered as a plus
- Exposure to Gen-AI and LLM will be considered as a plus
- Business Acumen to produce relevant metrics and insights. Fintech Domain background will be a plus
Company Info.
PayPalPayPal Holdings, Inc. is an American company operating an online payments system in the majority of countries that support online money transfers, and serves as an electronic alternative to traditional paper methods like checks and money orders.
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IndustryFinTech
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No. of Employees30,900
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Location2211 North 1st Street, San Jose, CA 95131, USA
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Website
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