Our Client – an Internet & Financial Services Company is looking for curious and engaged Platform Engineers to join the Data Science team
As a Platform Engineer, you'll join a team that works across the organisation using machine learning to build intelligence into our products
We’re a diverse team dedicated to using data to build great value for our customers and we’d love your contribution
What else will you do?
- You will be working closely with senior data scientists to deliver proprietary algorithms running at scale across our data platform
- Writing modular, scalable and efficient code
- Implementation of security and data protection while ingesting and analysing "big data"
- Real-time integration of various data sources,
- Liaising with frontend developers/vendors to support the backend data platform.
- You will be working in cross functional teams and on products with short development cycles
Let’s be in touch if:
- You have hands-on experience of implementing production machine learning systems, and also a solid understanding of ML theory
- You are pragmatic, product-focused and passionate about the end results, not just the techniques used to get there
- Understanding of the threading limitations of Python, and multi-process architecture.
- You're a great communicator and you're comfortable explaining complex results, models and methods to both technical and non-technical audiences
- Additionally, if you have used data pipelining tools such as Apache Spark or Apache Beam/Google DataFlow, in an AWS or GCP environment, let us know. If not, we'll be happy to help you get started.
Interested applicants, kindly furnish us with your detailed resume in MS Words format and click "Apply Now" button.
We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities.
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EA License No: 10C4754
EA Personnel: Huang Mei Bao
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