Senior MLOps Engineer

2 weeks ago


Singapur, Singapore Randstad Full time

Overview 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 used in primary and secondary genomic analysis Be a technical expert to develop AI models within a consistent ML environment, automate training and data/model management Responsibilities Follow the responsibilities listed under About Job above. Qualifications Bachelors in Computer Science or equivalent experience Min 3 years in machine learning and operations, ideally in a hands-on MLOps role Experience deploying APIs and packages Experience with ML ops platforms (MLFlow, W&B; 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 (EA: 94C3609 /R ) #J-18808-Ljbffr


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