
Senior MLOps Engineer
4 days ago
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
- 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, , 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
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