Senior MLOps Engineer

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

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 96554170 (EA : 94C3609 / R1875382)