Welcome to RemoteYeah 2.0! Find out more about the new version here.

Remote Machine Learning Engineer (Singapore)

at Bjak

Posted 9 hours ago | 0 applied

Description:

  • Bjak is committed to making financial services more accessible, affordable, and sustainable across ASEAN.
  • The company is headquartered in Malaysia and is the largest insurance platform in Southeast Asia.
  • The role is open to Singaporean citizens and Permanent Residents (PRs) based in Singapore, who are willing to relocate to Malaysia or work remotely from Singapore while collaborating closely with the Malaysia-based team.
  • Key responsibilities include collaborating with product managers and stakeholders to define AI and machine learning objectives, designing and implementing AI models and applications, managing the end-to-end AI model lifecycle, staying updated with advancements in AI, optimizing AI models, utilizing data-driven insights for improvements, and conducting research on innovative AI techniques.

Requirements:

  • Candidates must have a Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Proven experience as a Machine Learning Engineer, AI Engineer, or Data Scientist is required.
  • Proficiency in AI and machine learning frameworks and programming languages such as Python, TensorFlow, and PyTorch is necessary.
  • Expertise in data preprocessing, feature engineering, and model evaluation is essential.
  • Strong problem-solving and analytical thinking skills are required.
  • Effective communication and teamwork abilities are necessary.
  • Candidates must be Singaporean citizens or Permanent Residents (PR).
  • Candidates must be willing to relocate to Malaysia or work remotely from Singapore.
  • A hybrid working arrangement based in Malaysia is expected, with collaboration across teams in Malaysia and Singapore.

Benefits:

  • The position offers a hybrid work arrangement based in Malaysia, with the option for remote work from Singapore for suitable candidates.
  • Employees will work closely with an international team based in Malaysia.
  • The work environment is dynamic and fast-paced.
  • Attractive remuneration and performance incentives are provided.
  • There are strong learning and career growth opportunities available.
  • A competitive salary is offered.