Do you have experience in supporting Machine Learning projects, taking proof of concepts into production? Can you build data pipelines and manage data integration? Have strong engineering experience?
A high-profile Singapore-based Data Science team are seeking to recruit a Machine Learning Engineer to productionize their algorithms in large data environments and develop efficient data pipelines.
This team are immersed in a number of AI discovery projects, involving building NLP, Computer Vision and Recommendation platforms.
- Own and maintain their distributed computing platform
- Implementing Machine & Deep Learning algorithms, taking prototypes into production
- ETL ownership and the build of data pipelines for Machine Learning research
- Define Machine Learning architecture best practices and keep up to date with the evolving opensource Deep Learning frameworks.
You will have…
- A Masters or PhD in Computer Engineering or a similar subject
- Strong experience in supporting Machine Learning projects, taking prototypes into production
- Experience of implementing Machine Learning algorithms/architecture in Big Data environments
- A great background in distributed computing and systems engineering and DevOps
- Excellent experience in writing code to understand the functional paradigm (Scala, Java, etc)
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