Chief Machine Learning Architect

1 week ago

Singapore beBeeInference Full time $125,000 - $175,000

About our team:

Senior Inference Engineer

We're seeking an experienced Senior Inference Engineer to join our dynamic AI/ML team. The ideal candidate will work closely with data scientists, data engineers, and product teams to deploy and manage machine learning models from development to production.

  • Key Responsibilities:
  • Deploy ML Models: Design and implement the systems that launch our machine learning models into production quickly and safely.
  • Scale & Optimize: Ensure our model serving infrastructure can handle large volumes of data and runs efficiently.
  • Automate Deployment: Create CI/CD pipelines for testing, building, and deploying ML models.
  • Monitor Performance: Set up monitoring and alerting systems to track model performance, health, and resource usage.
  • Improve Practices: Establish best practices for MLOps, such as version control for models and data, and reproducible experiments.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Machine Learning, or related field.
  • 5+ years of experience in MLOps, DevOps, or similar role focused on deploying and managing applications, especially machine learning models.
  • Strong programming skills in Python (preferred) and experience with scripting (e.g., Bash).
  • Hands-on experience with MLOps platforms or tools like MLflow, Kubeflow, Sagemaker, or similar.
  • Solid experience deploying and managing applications on cloud platforms like AWS, GCP, or Azure.
  • Strong understanding and experience with Docker and Kubernetes.
  • Experience setting up and managing CI/CD pipelines using tools like Jenkins, GitLab CI.

What We Offer:

  • A culture that values authenticity and diversity of thoughts and backgrounds.
  • An inclusive and respectful environment with open workspaces and exciting start-up spirit.
  • Fast-growing company with opportunities to network with industrial pioneers and enthusiasts.
  • Ability to contribute directly and make an impact on the future of the digital asset industry.
  • Involvement in new projects, developing processes/systems.
  • Personal accountability, autonomy, fast growth, and learning opportunities.
  • Attractive welfare benefits and developmental opportunities such as training and mentoring.

We are an equal opportunity employer.

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