-
Job Type
Full Time -
Experience
8-10 year -
Salary
₹90,000 - ₹250,000 / Month -
Location
Bangalore, Karnataka, India -
Job Function
-
Industry
Information Technology -
Qualification
Degree in Artificial intelligence- AI
Key Skills
Algorithms, Apache Hadoop, Apache Hive, AWS, Azure, Cloud computing, Google BigQuery, Google Cloud Platform (GCP), Machine learning techniques, PyTorch, Scikit-learn, Spark Core, SQL, TensorFlow, XGBoost
Job Description
What you need to know about the role- You should be a driven Machine Learning Engineer.
Meet our team-
You will be joining PayPal’s nascent Personalization AI/ML, Product Intelligence & Experimentation Sciences team.
Your way to impact
We are seeking a talented and driven Machine Learning Scientist to join PayPal’s nascent Personalization AI/ML, Product Intelligence & Experimentation Sciences 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 in consumer product domain. This position requires the ability and curiosity to learn various advanced AI/ML techniques.
Your day to day
As a Machine Learning Scientist you will be responsible for:
- Developing state-of-the-art Machine Learning solutions to solve impactful business problems
- Working with team and stakeholders to formulate business challenges into data science and machine learning problems
- Productionalizing and automating large scale end-to-end data solutions in close collaboration with our engineering teams
- Present findings and recommendations to business partners and senior leadership
What do you need to bring-
- Masters degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.) with 8+ yrs. of relevant industry experience
- Advanced knowledge of statistical and machine learning algorithms (e.g., logistic regression, time series analysis, random forests, SVMs, XGBoost, CNNs/RNNs)
- Experience with Graph-based algorithms and infrastructure
- Hands-on experience with popular ML frameworks and libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.) and in dealing with big data (e.g., Hadoop, Spark , SQL, etc.)
- Ability to write scalable production-quality code in Python, Java, Scala or a similar programming language, and to design and implement data engineering pipelines using technologies like Hive, SQL, BigQuery, or Spark
- Strong problem-solving skills and attention to detail
- Ability to communicate effectively and establish constructive relationship with business and engineering partners
- Ability to work effectively both independently and in a team environment
- Experience with Fintech and/or Financial Services industry an advantage
Nice to Haves:
- Experience working in Cloud based environment (e.g., GCP, Azure, AWS)
- Hands-on experience with conducting experiments in various areas of personalization and causal inferencing
- Experience working on feed-based ML ranking and recommendation systems
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.
-
IndustryFinTech
-
No. of Employees30,900
-
Location2211 North 1st Street, San Jose, CA 95131, USA
-
Website
-
Jobs Posted