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Senior MLOps Engineer (Machine learning + DevOps)

3-5 Years
SGD 8,000 - 10,500 per month
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Job Description

about company

I am currently working with a well known biotechnology research company. Office located in Woodlands - but there's shuttle bus provided from multiple MRT stations.

Salary structure: Base + bonus! Hybrid working arrangement - 2 days WFH. Working hours 8am to 5pm. Can end work early and have more personal time. Might need to take 7am US calls.

about job

  • Create and maintain code, documentation, testing and deployment frameworks, tools and infrastructure, working closely with engineers and domain experts on AI/ML models and pipelines
  • Machine learning model training pipeline, how to manage the data, how to get data into production.
  • Develop environments for building, testing, tracking production AI models and data across data pipelines
  • Be a technical expert to develop AI models within a consistent ML environment, automate training and data/model management

skills and requirements

  • Bachelors in Computer Science or equivalent experience
  • Min 3 years in data or machine learning and operations, ideally in a hands-on MLOps role
  • Experience deploying APIs and packages
  • Experience with ML ops platforms (MLFlow, Kubeflow, Kubernetes, Docker, dask, rapids.ai, Ray)
  • Experience with ML frameworks (Tensorflow, keras, Pytorch, xgboost, sklearn)
  • Strong Python coding skills - experience with unit testing, code reviews, version control
  • Or could be DevOps Engineer with ML experience. OR Bioinformatics Engineer with AI/ML ops related experience OR ML Engineer with DevOps experience

To apply online please use the apply function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)

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Job ID: 131539559