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PeachIH (Singapore): Machine Learning Specialist


We are a real-time healthcare IT analytics company using advanced machine learning and artificial intelligence to innovate cutting edge products to make actionable predictions for patients with acute and chronic medical conditions.



PeachIH At: PeachIH
Location: Singapore
Web: www.peachih.com

Peach IntelliHealth PTE is a real-time healthcare IT analytics company using advanced machine learning and artificial intelligence to innovate cutting edge products to make actionable predictions for patients with acute and chronic medical conditions. Our products lead to healthier people and reduced health-care costs. iPeach was founded by MIT and Harvard alums and is based in Singapore and the US. We are a team of passionate technologists working together to bring new capabilities to the medical community. We offer a multi-cultural and result-oriented work environment with startup growth opportunities that reward motivated individuals.

The position is based in Singapore. Applicants must be Singapore citizens or PRs.

_Contact_:
Interested candidates should please submit an updated resume together with current, expected salary range and notice period to hiringmanager@peachih.com

MACHINE LEARNING SPECIALIST


Responsibilities
  • To interact with multiple business, technical and operations teams to define and deliver new and innovative solutions and products, as well as drive improvements to existing features and products.
  • To apply artificial intelligence, machine learning, and data mining technologies for solving innovative problems encountered in improving health-care delivery in hospitals and homes.
  • To work with the Peach team to develop a machine-learning analytics platform to tackle a wide range of data-oriented challenges.
  • To explore, design, and implement a robust production-grade data processing pipeline that can ingest, aggregate, transform and analyse large health-related datasets.
  • To research and develop new artificial intelligence and machine learning algorithms for improving health-care decision making.

Requirements
  • 3+ years' experience and a quantitative background with advanced degree(s) in majors such as Computer Science, Engineering, Science, Mathematics, Economics, or similar.
  • In-depth understanding of artificial intelligence and machine learning from an implementation standpoint.
  • Experience in designing and developing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with large data sets.
  • Strong interest in emerging big data technologies, with the ability to proactively and independently acquire applications-specific technical skills through on-the-job exposure.
  • Hands-on experience coding in Python or other advanced programming languages is required for this role, as is experience working with large datasets using SQL.
  • Experience with Java, R, PHP, Perl and/or Unix is an advantage.
  • Strong in data processing languages such as Python, R, SQL, C++, UNIX scripting, etc.
  • Ability to lead, manage, and communicate goals to technical employees; strong decision making skills; excellent oral and written communication skills.
  • Strong technical aptitude, including excellent troubleshooting skills.
  • Ability to multi-task in a fast-paced and complex work environment.

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