Intern, Machine Learning Ops
At a glance
Junior Machine Learning Engineering role at Ensign InfoSecurity. Internship.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build machine learning algorithms for operational technology applications
- Create user interfaces that support machine learning applications in the OT space
- Try and test the internal cybersecurity platform used for data science and MLOps
- Help prepare models for deployment and track their behavior in live operations
- Contribute to other team projects as assigned
What you bring
- You can develop in Python or C++
- You understand the stages of a machine learning workflow
- You can follow how data scientists use Keras, PyTorch, TensorFlow or another listed framework
Who this fits
This internship suits someone looking to develop practical skills in machine learning development and operations, particularly in cybersecurity. You'll need to be willing to learn and work on the 2025 intake.
From the employer
Ensign is hiring !
This position is for 2025 intake.
Key Responsibilities:
· Design and implement Machine Learning Algorithms for the Operational Technology (OT) space
· Develop UI to support Machine Learning Application for OT
· Utilise and test our internally developed Cyber Security Machine Learning Platform for Data Science and MLOps
· Support team to optimise Machine Learning Models for deployment
· Support the team in monitoring Machine Learning Models in Operations
· Take part in any other activities or projects assigned
Learning Outcomes:
· Working experience in Industry
· Good understanding of how Machine Learning is applied in Cyber Security
· Time management and communication skills in working environment
· Skills in software development in machine learning model development, machine learning operations and workflows
Qualifications/Requirements:
· Ability to do development using Python or C++
· Understanding of Machine Learning workflow
· Ability to understand tools and frameworks such as Keras, PyTorch, Tensorflow used by data scientists
· Good attitude towards learning