Machine Learning Engineer

3 weeks ago


Singapore Parallelchain Lab Private Limited Full time

ParallelChain Lab is seeking a rigorous, innovative problem-solver to join the Data Science team.

This is a full-time, on-site position based in Singapore.

Duties

  • Conduct research and data processing to support fintech application development.
  • Stay updated on recent advances in AI research.
  • Develop and enhance biometric deep learning models, such as face and voice authentication.
  • Propose benchmarks and test models to ensure production readiness.
  • Perform data analysis and communicate data insights.
  • Create APIs and collaborate with the DevOps team to deploy AI models into production.
  • Automate workflows to optimize performance.

Qualifications and Requirements

  • Bachelor's Degree in Science or Engineering disciplines (e.g. Computer Science, Physics, Statistics, Electrical Engineering).
  • Minimum 2 years experience in Python-based AI projects knowledge of other languages is a plus.
  • Solid understanding of machine learning (e.g. CNN, Transformers, pre-training, transfer learning).
  • Hands-on experience with machine learning libraries (e.g. PyTorch and TensorFlow).
  • Proficient in machine learning tools (e.g. Hugging Face, MLflow, PyTorch Lightning, Hydra).
  • Familiar with SQL and NoSQL databases.
  • Fluent in English.
  • Strict adherence to our code of ethics: respect doctrines of intellectual property rights, trade secret protection, and fiduciary duties.
  • Bonus: Master's or PhD.
  • Bonus: Experience with DevOps tools (e.g. Git, Docker, Nginx).
  • Bonus: Experience in signal processing (e.g. FFT).
  • Bonus: AI publications in peer-reviewed journals.

Benefits & Work Environment

  • Health insurance including dental coverage.
  • Special leave provisions such as marriage leave, compassionate leave.
  • Staff stock options and performance-based token rewards.
  • A diverse, multicultural, English-speaking work culture.

Notes

  • Include your Git (if any) in your resume.
  • Recent graduates (2022 or after) should also submit a copy of academic transcripts.


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