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Senior Machine Learning Engineer
Xoom
posted 1mon ago
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Job Description
As a Machine 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 Engineer 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
Employment Type: Full Time, Permanent
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