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EasyMile Pte Ltd jobs

EasyMile Pte Ltd
17Dec
Singapour : R&D Engineer - Data Engineer
EasyMile Pte Ltd   via JobTech

Fast growing start-up headquartered in Toulouse with regional offices in Singapore, Denver, Berlin and Melbourne. Founded in 2014 and privately owned, with Alstom & Continental as minority shareholders. With over 120 highly-skilled and passionate employees specializing in robotics, computer vision and vehicle dynamics, easymile supplies smart mobility solutions and autonomous technologies powering driverless vehicles with existing products such as: the EZ10, a 100% electric driverless shuttle deployed in 20 countries worldwide; the TractEasy, the first autonomous electric baggage tractor jointly developed with TLD.

 

**Responsibilities **

Shape EasyMile’s data platform by ingesting, manipulating, and visualization data across on-premise data platforms
Leverage the best tools to define processes and workflows.
Ensuring that data is ingested and analysed securely and efficiently
Define, Implement and maintain pipelines / workflows for training, validation, and optimization of machine learning based algorithms
Develop, construct, optimize and maintain machine learning based infrastructure(s) (e.g. databases / data lakes, training server(s))
Employ sophisticated analytics programs, machine learning and statistical methods to prepare data for use in predictive and prescriptive modeling 
Collaborate with cross functional agile teams of software engineers, data scientists, and others.

**Essential **
Bachelor Degree in Computer Science, Computer Engineering, or a related field
Experience as a Data Engineer, Software Developer, or similar.
**Experience with Machine Learning toolkits like Tensorflow**
Demonstrable aptitude in Python development
Experience working with cloud-based infrastructure (AWS, GCP)
Experience in data processing / ETL implementation (e.g. Beam, Airflow, Dataflow, Spark)
Experience with building data lakes and data warehouses
Good knowledge of writing performant SQL, Airflow, DataFlow and Spark
Containers technology including Docker and Kubernetes
Experience with real-time stream-processing systems (e.g. Kafka)
Very good oral and written English. 

**Strongly desirable **
Experience with Tensorflow and KubeFlow
Experience with AI algorithm design
Experience in the automotive industry 
 

Skills