Machine Learning Engineer
Found in: beBee jobs MY - 1 week ago
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 worldThe 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 · RWhat's on Offer
- Attractive remuneration package
- Be part of a globally recognised organisation
- Enhance your development and management skills
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Found in: beBee S MY - 2 weeks ago
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Found in: beBee S MY - 2 weeks ago
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