My client is looking for:

Quick learner: you enjoy working with data and algorithms and have the ability to learn new frameworks and technologies quickly

Problem solver: you have strong critical thinking skills and willing to find creative solutions to difficult problems

High autonomy: self-organized, passionate with a can-do attitude and own end-to-end projects

Team player: you go the extra mile to ensure success and alignment of all parties involved

Evangelist: you effectively teach and promote innovative tech, challenge and influence the strategy of stakeholders

Responsibilities:

Deploy, schedule, monitor, evaluate and optimize solutions for performance and scalability

Build ML development environment for data scientists to model and test prototypes

Collaborate with data scientists to build ML pipelines and move prototypes into large-scale production environment

Partner with data engineers to manage data pipeline requirements as well as infrastructure and software engineers to bring models to production

Requirements:

4+ years of hands-on experience implementing high availability production machine learning systems

Experience with distributed computing technologies (e.g. Hadoop, Spark, GPUs)

Experience with AWS (S3, Redshift, SageMaker, Lambda) or GCP (ML Engine, KubeFlow)

Experience in one or more of the following: Classical ML, Deep Learning, Image Processing, NLP, Operations Research and Recommendation Systems

Experience with machine learning frameworks and libraries (e.g. Sklearn, H2O, XGBoost, TensorFlow, Theano, Keras, Spark MLlib)

Proficiency in SQL and Python

Good command of English

Nice to have:

Familiarity with Redis and MySQL

Familiarity with Scala, Golang, PHP or Javascript

Logistics domain knowledge

If you are interested, send your CV to m.lam@hamlynwilliams.com or reach out at +852 2777 6467 for confidential discussion.