Nigel Frank International are working with one of the biggest names in the analytics space who are renown for the innovative and exciting approaches they utilize on the projects they lead in the Data Science and Big Data (Machine Learning / AI) space.
They are continuing a strong trend of success and progression and now have needs across the business for professionals in the Big Data world. Specifically, they are in need of experienced Machine Learning Engineers to join the team on a permanent position.
This role can be based anywhere in the US or Canada, but candidates should hold valid work authorization as visa sponsorship is not an option due to the nature of the projects involved.
In order to be successful for this role candidates must be able to demonstrate at least 5 years of hands on experience in regards to both Machine Learning and Python. Along with this required experience, candidates must also hold a Bachelor's degree or high in Computer Science or a related field.
In the role candidates can expect to work on a range of Machine Learning projects requiring the running of ML tests, experiments, and more. Candidates will be bringing Machine Learning Solutions to life and creating scalable ML solutions for/in production environments.
As well as the required 5 years of Machine Learning and Python experience, candidates should also be strong in the below areas:
- Cloud (AWS / Azure / GCP)
Whilst not essential areas for candidates applying, experience in regards to any of the below would be highly advantageous:
- Machine Learning - Frameworks
- MLflow / Kubernetes / Airflow
- Cloud Native Machine Learning as a Service (MLaaS)
If this role sounds of interest to you, don't miss the chance to join an organization who pride themselves on the progression opportunities they can provide and the exposure to the latest technology that the projects they work on come with.
Apply today for immediate consideration on this opportunity in the Machine Learning world. Candidates can submit an updated resume via email to: email@example.com