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Data Driven Innovator

3 weeks ago

Singapore beBeeMachineLearning Full time $80,000 - $120,000
Job Title

A Machine Learning Engineer is responsible for developing and maintaining our machine learning platform.

  • Key Responsibilities:
  • Design, develop, and maintain core functions of the machine learning platform, including data processing, feature engineering, model training, and model deployment.
  • Build efficient, scalable data processing and computing processes to ensure platform stability and performance.
  • Collaborate with data scientists and machine learning engineers to understand their requirements and provide tool and technical support.
  • Work closely with system administrators and software engineers to ensure smooth platform integration with other systems.
  • Responsible for managing and monitoring the operation of the machine learning platform and troubleshooting any platform-related issues.
  • Continuously track and evaluate emerging technologies and tools and provide suggestions for platform improvements and development.

Requirements:

  • Bachelor's or above degree in computer science, software engineering, or a related field with 1+ years of relevant experience.
  • Solid software engineering skills and proficiency in developing using common programming languages (such as Python, Java, or C++).
  • Indepth understanding of distributed computing and principles and technologies of largescale data processing, familiar with related open source tools and frameworks (such as Hadoop, Spark, etc.).
  • Demonstrate understanding of cloud computing and containerization technologies such as AWS and Docker.
  • Enthusiastic about learning new technologies and solving complex problems, passionate about engineering challenges. Strong analytical and problem-solving skills, ability to quickly understand and solve engineering problems.

Preferred Qualifications:

  • Prior knowledge and experience in machine learning and deep learning, but it is not required. We value candidates' engineering capabilities and overall quality more.

About Us:

We are committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. We aim to inspire creativity and enrich life by celebrating our diverse voices and creating an environment that reflects the many communities we reach.