Senior MLOps Engineer (Machine learning + DevOps)

Singapore 1 months agoFull-time External
43.6k - 57.3k / mo
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) skills no additional skills required qualifications no additional qualifications required education Bachelor Degree