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MLOps Engineer

Bridges for Enterprise

Bridges for Enterprise

Posted on Thursday, February 23, 2023

Commitment: 3-5 hrs/week for 6-8 weeks, excluding holidays and exams. Schedule negotiable.


We are looking for volunteers to design and create a MLOps system for managing current and future ML models. This project will entail using Databricks (Notebook + MLFlow + Backend) to build an architecture mainly in Python for standardizing the ML Model Development Lifecycle, from experimentation to deployment and maintenance. Potential to convert to a long-term volunteering position in our global leadership team with flexible commitment.



  • Experience with one or more data science/ML libraries for Python, such as numpy, pandas, PyTorch, TensorFlow.
  • Experience with working on a complete ML project involving most stages of the ML Model Development Lifecycle (feature engineering, model training, model tracking, service deployment, testing and operations).Preferred but not required:
  • Experience with MySQL database and any artifact store knowledge.
  • Basic understanding with containerising services, and experience in Docker.
  • Experience with ML workflow/MLOps and related tools such as MLflow and Databricks.


  • Passion in data analytics, algorithm design and machine learning in the context of real-life business needs.
  • Desire to bring diverse perspectives, energy, knowledge and skills to the role.


  • Learn/sharpen your skills in MLOps and broaden your project portfolio while knowing that your project will have a direct tangible impact on real-life businesses.
  • Constant interactions with a growing global community of diverse, talented and passionate BfE members across the world.


You may apply for this opening via here. The deadline for this opening is 31 May, 2023.

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