Machine Learning Engineer

Found in: beBee S MY - 2 weeks ago

Malaysia Michael Page Full time

About Our Client

Our client is a globally recognized corporation renowned for its expertise in the fast-food industry, distinguished by its efficient delivery system and commitment to quality. With a strategic focus on innovation and customer satisfaction, they maintain a strong presence in numerous markets worldwide, consistently delivering value to shareholders and stakeholders alike.

Job Description

* Transform Data Science prototypes into model and inference pipelines

* Monitor model performance and flag the need of model rebuild to the data science team

* Develop MLOps routines around data and code versioning

* Keep abreast of developments in the field

* Train and retrain systems when necessary

* Run machine learning tests and experiments

* Perform statistical analysis and fine-tuning using test results

* Deploy models to production

* Training models and tuning their hyperparameters

* Define and implement validation strategies

* Verifying data quality, and/or ensuring it via data cleaning

* Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

The Successful Applicant

· Proficient in Azure ML, Github (including deployment pipelines)

· Python

· Familiarity with docker containers and ML frameworks (e.g. Keras, Pytorch, Tensorflow, scikit-learn)

· Excellent Communication and writing skills in English

Desirable but not essential:

· AWS / AWSSagemaker, S3, DataWrangler

· R

What's on Offer

  • Attractive remuneration package
  • Be part of a globally recognised organisation
  • Enhance your development and management skills
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