
Machine Learning Ops Associate Engineer
2 weeks ago
**Job Description - Machine Learning Ops
**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
- Deploy and manage Kubernetes solutions
- 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 deploy and manage Kubernetes first open source solutions
- 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
- Experience working with streaming data
- Strong in programming languages such as C, C++ and Python
- Strong communication skills
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