Machine Learning Engineer

Year    Bangalore, Karnataka, India

Job Description


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. Summary: 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 : What you need to know about the role 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. 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 What do you need to bring 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 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 Additional : Subsidiary: PayPal Travel Percent: 0 Our Benefits: At PayPal, we\'re committed to building an equitable and inclusive global economy. And we can\'t do this without our most important asset-you. That\'s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit Who We Are: to learn more about our culture and community. PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com. PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at . Any general requests for consideration of your skills, please As part of PayPal\'s commitment to employees\' health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.

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Job Detail

  • Job Id
    JD3130221
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Bangalore, Karnataka, India
  • Education
    Not mentioned
  • Experience
    Year