
Machine Learning Ops Engineer
4 days ago
Ensign is hiring
About Ensign
- At Ensign _
- InfoSecurity, our goal is to help secure the cyberspace of Enterprises, sectors and nations through world class expertise and innovative technologies._
- Ensign, however, isn’t just about technology. People are our most valuable asset. We value talent, passion, dedication and one’s willingness to push the norms. But we also believe this can only be achieved in an environment that’s conducive and inspiring. A workplace where everyone can grow, and feel a sense of belonging._
Key Responsibilities:
- Work with existing Machine Learning Operations (MLOps) team to develop a streamlined Cyber Security Machine Learning Platform for Data Science Team and Deployment team
- Develop integrated services to automate the retraining and deployment of Machine Learning models
- Ensure that deployed machine learning models are functional in production
- Develop end to end pipelines as part of MLOps for developed models
- Work on optimisation so that the model can handle large amounts of data in a production environment
- Embody Ensign’s core values in work and interactions with colleagues, customers and vendors
Qualifications/Requirements:
- Ability to do development using Python and C++
- Ability to design and implement on-prem and cloud solutions (AWS, Azure, or GCP)
- Ability to build MLOps pipelines using CI/CD tools such as Gitlab, AWS Code Pipeline, etc
- Good understanding of Linux and machine learning workflow
- Ability to understand tools and frameworks such as Keras, PyTorch, Tensorflow used by data scientists
- Experience in using popular MLOps frameworks like MLFlow or Kubeflow
- Strong in programming languages such as C, C++ and Python
- Strong communication skills
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