Job Description
Key Responsibilities:
- Contribute to designing, building, evaluating, and refining in-house product & solutions with hands-on Machine Learning development
- Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new and optimise existing product features
- Prototype new approaches and productionise solutions at scale for existing and new projects
- Help drive optimization, testing, and tooling to improve quality
- Be part of an active group of machine learning practitioners within the organisation
- MS in an analytics/machine learning related discipline (Computer Science, Math, Statistics, Economics, Astrophysics or other quantitative) - PhD preferred.
- Solid background in machine learning, with proven experience and expertise in personalized machine learning algorithms
- Hands-on experience in implementing and productionising machine learning systems at scale in Java, Scala, Python, or similar languages.
- Deep Learning exposure will be an added advantage
- You care about agile software processes, data-driven development, reliability, and disciplined experimentation