Roles & Responsibilities
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
Requirements :
Bachelors in Computer Science or equivalent experienceMin 3 years in machine learning and operations, ideally in a hands-on MLOps roleExperience deploying APIs and packagesExperience 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 controlOr could be DevOps Engineer with ML experience. OR Bioinformatics Engineer with AI / ML ops related experience OR ML Engineer with DevOps experienceTo apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA : 94C3609 / R1875382)
Tell employers what skills you have
TensorFlow
Machine Learning
Version Control
Kubernetes
Pipelines
Unit Testing
XGBoost
Scripting
Keras
Biotechnology
PyTorch
Python
Bioinformatics
Docker
Ansible
Linux