Senior Machine Learning Engineer


A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person that wants to innovate in the world of cloud big data engineering and machine learning. Major responsibilities include:

  • Understand the client's business need and guide them to a solution using Python, PyTorch, Kubeflow, Kubernetes, AWS etc.

  • Lead the customer projects by being able to deliver a machine learning project on AWS from beginning to end, including understanding the business need, aggregating data, exploring data, training models and deploying to AWS (EKS, S3 etc..) to deliver business impact to the organization.

You should have a detailed understanding of the ML lifecycle, including:

  • 5+ years relevant work experience

  • Python to process data for modelling 

  • Experience working with a wide range of predictive and decision models, including tools

  • ML workflow tools (e.g. Kubeflow/MLflow)

  • Developing end-to-end software projects

  • Experience using Linux to process large data sets

  • Experience with Kubernetes

  • Experience with AWS

Ideally you are in the GMT to GMT+4 timezone.


👉 Please mention in your application that you found the job on pyremote, this helps us get more companies to post here!

This job is sourced from Stack Overflow Jobs. When clicking on the button to apply above, you will leave pyremote and go to the job application page. pyremote accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.