ML Operations Engineer
Tech Stack: Python, PyTorch, AWS//GCP, Kubernetes, Docker
The Role
Relu Analytics is looking for a contract ML Operations // Software Engineer for a paid hourly position. This role does not necessarily require experience with Machine Learning but requires significant operations experience with Kubernetes // Docker. We work entirely in Python at the moment and will be constructing and deploying various deep-learning projects.
The right applicant should be comfortable leading the engineering discussion and being the first point of contact for all engineering and deployment-related issues. There are no fixed hours for the position and you would be able to make your own hours as needed as long as the job gets done upon agreed timeframes.
What you will be doing:
Be heavily involved in the set-up of datasets for developing new machine learning algorithms.
Infrastructure design // integration with our client’s database infrastructure.
Design and construct data ETL pipelines for supporting ML // Deep Learning algorithms in training and production.
Design and construct the production of ML // Deep Learning algorithms.
Must have:
Solid (ideally 5 years) of professional coding experience.
Demonstrable experience working with text data.
Ability to work independently and with minimum supervision.
Experience with building scalable data pipelines on AWS or GCP.
Strong understanding of cloud deployments and CI.
Apply