Machine Learning Engineer (6 months, Remote)
Singapore
Applications have closed
Lynx Analytics
Transforming businesses across life sciences, retail, telecom, and FinTech with cutting edge solutions.COMPANY OVERVIEW
Founded in 2010, Lynx Analytics is a predictive analytics company run by world-class quantitative marketing scientists and industry-experienced data scientists. Our focus is to become a leading analytics solution provider in our chosen fields of expertise (telecom, retail, life sciences, and financial services) while advancing graph analytics technology.
Lynx is headquartered in Singapore with operations in Hong Kong, Germany, USA, Hungary, South Africa, Indonesia, and several other Southeast Asian countries. We work with some of the world’s largest companies and are constantly looking to expand our knowledge base and geographical footprint. Lynx Analytics’ technology is deployed with various Clients across Asia and has significant growth potential.
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
- Good problem-solving skills
- Able to support US/EU time zones
*This is a 6-month contract role with potential for extension / conversion.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Engineering Machine Learning ML models Python
Perks/benefits: Career development Startup environment
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