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PayPal Machine Learning Engineer 
India, Karnataka, Bengaluru 
815732878

18.08.2024

What you need to know about the role

Job Description:

As aMachine Learning Scientist,you will focus on delivering advanced AI solutions and services, to generate significant business impact across multiple domains.The position requires close collaboration with cross-functional teams, including engineers, product managers and fellow ML scientists. This position demands a deep technical expertise to explore the frontiers of machine learning and develop cutting-edge solutions.


Your day to day

As a Machine Learning Scientist you will be responsible for:

  • Develop innovative ML models, algorithms, and engineering approaches with high impact to our business.

  • Build large scale (all PayPal transaction or logins!) end-to-end data products in close collaboration with our engineering partners

  • Transform large amounts of complex data into business insights and solutions by using the latest technology in AI/ML

  • Initiate next-gen AI projects that would push our tech-stack boundaries

What do you need to bring

  • Minimum 4 years of relevant work experience in AI/ML and Data Science or PhD with 1 year of experience.

  • Masters degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)

  • Code writing capabilities in any programming language (preferably Python) and familiarity with relevant ML packages

  • Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring

  • Demonstrated proficiency in designing, training, and deploying deep neural networks using frameworks such as TensorFlow, PyTorch, or Keras.

    • Proven ability to leverage advanced deep learning techniques for applications in computer vision, natural language processing, and/or other relevant domains.

  • GCP and big data experience – an advantage

  • Experience in a multi-culture and multi-location organizations – an advantage

  • Team player, responsible, delivery-oriented, details-oriented

  • Outstanding communication skills

  • Excellent spoken and written English

Our Benefits:

Any general requests for consideration of your skills, please