Machine Learning Engineer (Remote)

Lynx Analytics
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Job Description

We have a diverse and inclusive global team comprising Professors, PhDs, MSc’s, and MBAs from Ivy Leagues, INSEAD and NUS with a broad spectrum of experience in start-ups and blue-chip companies (Google, SAP, Vodafone, GE, Morgan Stanley, Barclays, HSBC to name but a few). It is the combination of our industry insight and experience, scalable proprietary technology, and highly qualified people that drives our compelling value proposition.

KEY RESPONSIBILITIES

  • Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation
  • Work closely with data scientists and analysts to create and deploy new features
  • Write efficient and well-organized software to ship products in an iterative, continual-release environment
  • Monitor and plan out core infrastructure enhancements
  • Ability to optimize model performance, push model into performance, track and test, refactor code
  • Contribute to and promote good software engineering practices across the team
  • Communicate clearly and effectively to technical and non-technical audiences
  • Actively contribute to and re-use community best practices

REQUIREMENTS

  • Relevant tertiary qualification
  • 2 to 4+ years of experience with at least 1 year of experience in Machine Learning Engineering
  • Strong knowledge of Python and SQL
  • Good problem-solving skills

Company Info.

Lynx Analytics

At Lynx Analytics, we unravel a world of connections that hold the most paramount business intelligence; through the combinations of graph analytics, A.I. and machine learning.

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Lynx Analytics is currently hiring Machine Learning Engineer Jobs in San Francisco, CA, USA with average base salary of $120,000 - $190,000 / Year.

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