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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
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