PayPal Machine Learning Engineer 

India, Karnataka, Bengaluru 

157614297

What you need to know about the role-

Job Description:

Your way to impact -

• As a Senior Machine Learning Scientist at PayPal, your role directly impacts the business by spearheading the development and implementation of advanced ML solutions.
• You will translate business challenges into actionable ML problems.
• Your efforts will drive business growth and will influence decision-making, help enhance consumer experience and improve marketing strategies, solidifying PayPal's position at the forefront of AI-driven solutions in fintech.

Your day to day -

As a Machine Learning Scientist you will be responsible for: ·

• Develop and implement state-of-the-art Machine Learning solutions to solve business problems related to PayPal Consumer Marketing lifecycle and address marketing challenges to drive business growth
• Collaborating with team and stakeholders to formulate business challenges into ML problems
• Design, develop and deploy automated large scale end-to-end ML solutions in close collaboration with our engineering group and PayPal's Platforms organization
• Communicate complex concepts and the results of models and analyses to both technical and non-technical audiences, influencing partners and customers with your insights and expertise.

What do you need to bring- ·

• Master’s degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.) with 6+ yrs. of relevant industry experience.
• Demonstrated record of building and deploying end-to-end ML solutions in a production environment, preferably in marketing or related domains.
• Experience with Next Best Action recommendation systems, Multi-Arm Bandit algorithms , Propensity, Churn and CV models.
• Ability to write scalable production-quality code in Python and to design and implement data engineering pipelines using technologies like SQL, BigQuery, or Spark etc.
• Hands-on experience with popular ML frameworks and packages such as TensorFlow and PyTorch. GCP/Hadoop and big data experience – an advantage.
• Experience leading ML projects and great record delivering solutions with attention to detail and efficiency.
• Experience shipping Realtime models a big plus.
• Ability to communicate effectively and establish constructive relationship with business and engineering partners.
• Ability to work effectively both independently and in a team environment.

Our Benefits:

Any general requests for consideration of your skills, please