Machine Learning Engineer
Coimbraremotemid
Posted 2w ago · via Workable
About this role
We are looking for a ML Engineer to work closely with the ML Architect to develop on ML frameworks (TensorFlow, Scikit-Learn, Pytorch), Experimentation platform and tools. This role has the responsabilities to: Develop large-scale distributed machine learning systems that are scalable, performant, efficient, and reliable Collaborating with cross-functional teams to help deploy/integrate machine learning models. Liaise with the BUs for their ML needs and work on the cross-BU ML portfolio. Optimize feature extraction, transformation and selection. Work with and manage. Feature Stores for reusability across ML pipelines.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: go, sagemaker, kubernetes, docker, airflow…
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is remote-eligible — we factor in your stated location and time-zone overlap.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
gosagemakerkubernetesdockerairflowscikit-learnpytorchtensorflowmlflowteams
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