Software Engineer: Machine Learning (Fresh Grad)

Singapore

Applications have closed

We are a group of scientists and engineers who use our technologies to solve real world problems. We understand data and products. We live with data, collecting, analysing and using data, help user to find their favourite items, detect patterns and mining interesting results. We stand on the wave of AI revolution, using latest techniques to build products. This is a position that need continuously study and problem solving.

Job Description:

  • Analyse data from various sources, find patterns and provide solutions
  • Write high-quality, clean, elegant, and reusable code; build common libraries
  • Build high performance, high availability, scalability, and easy to maintain services
  • Communicate with other team, deep understand data from different sources and product architecture, optimise the data process pipeline
  • Design and implement various supporting tools as needed

Requirements:

  • Passionate about coding and programming, innovation, and solving challenging problems
  • Bachelor's or higher degree in Computer Science or related fields
  • In-depth understanding of data structures and other computer science fundamentals
  • Hands-on experience in at least one of the programming languages: Go, Python or C++
  • Machine learning algorithms such as clustering, classification algorithms and data processing tools such as tensorflow, scikit

Skills below are optional but preferable:

  • Hands-on experience in distributed data platforms and processing frameworks such as Hadoop, Spark, Map-Reduce
  • Hands-on experience in Linux development environments and Shell Scripting

Tags: Classification Computer Science Hadoop Linux Machine Learning Python Scikit-learn Spark TensorFlow

Region: Asia/Pacific
Country: Singapore
Job stats:  33  3  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.