PayPal Off Campus Recruitment Drive 2023: Greetings From TblogQus Jobs, Today we bring you a new job i.e PayPal Off Campus for the role of Machine Learning Engineer Jobs. Kindly read the full post for all the details regarding the i.e Organization Name, Job Profile, Job Location, Education Requirements, Job Description, Job Skills Requirement, Preferred Skills, Experience Level and Apply Link Below:-
Job Summary of PayPal Recruitment Drive for Machine Learning Engineer:
Organization:- PayPal
Education: BE/B.Tech/ME/M.Tech/MCA or Related
Job Profile:- Machine Learning Engineer
Job Location:- Bangalore
Year of Pass out: 2021 ,2022, 2023 batch
MasterCard Off Campus Drive 2021 for Junior Software Development Engineer
Job Description for the PayPal Off Campus Recruitment Drive 2023:
Machine Learning Engineer
Bengaluru / Bangalore, India
0 – 2 Years
Not Specified
- Posted On : 8 days ago
- Total Views : 771
- Total Applications : 249
- Job Id : 64408797
- Permanent Job
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.
Job Description Summary: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,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
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
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