Machine Learning Engineer #IJF

Responsibilities

• Build and improve machine learning and analytics platform.
• Apply cutting edge technologies and tool chain in big data and machine learning to build machine learning and analytics platform.
• Keep innovating and optimizing the machine learning workflow, from data exploration, model experimentation/prototyping to production.
• Provide engineering solution and framework to support machine learning and data-driven business activities at large scale.
• Perform R&D on new technologies and solutions to improve accessibility, scalability, efficiency and us abilities of machine learning and analytics platform.
• Work with data scientists to build end-to-end machine learning and analytics solution to solve business challenges.
• Turn advanced machine learning models created by data scientists into end-to-end production grade system.
• Build analytics platform components to support data collection, exploratory, and integration from various sources being data API, RDBMS, or big data platform.
• Optimize efficiency of machine learning algorithm by applying state-of-the-art technologies, i.e. distributed computing, concurrent programming, or GPU parallel computing.
• Establish, apply and maintain best practices and principles of machine learning engineering.
• Contribute in creation of blueprint and reference architecture for various machine learning use cases.
• Support the organization in transformation towards a data driven business culture.
• Work closely with data scientists, business team, and project managers to provide machine learning and data-driven business solution.
• Collaborate with other technology teams to build platform and framework to enable machine learning and data analytics activities at large scale
• Maintain engineering principles and best practices of machine learning framework and technologies.

Requirements

• PhD/Masters/Bachelors in Computer Science, Computer Engineering, Statistics, Applied Mathematics, or related disciplines.
• 5+ years of experience in software engineering or DevOps automation or data engineering
• Excellent understanding of software engineering principles and design patterns.
• Excellent programming skills in either Python or Java.
• Hands-on experience in containerization/ virtualization platforms, e.g. Docker/Kubernetes.
• Exposure to data science and machine learning technologies and methodologies.
• Good working knowledge of high performance computing, parallel data processing, and big data stack, e.g. Spark and Hadoop/Yarn.
• Experience to one or more commercial / open source data warehouses or data analytics systems, e.g. Teradata, is a big plus.

Interested applicants, please Email , and look for

[email protected]

Jensen Fang Lifa

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R2197080

We regret that only shortlisted candidates will be contacted.