Machine Learning Operations Engineer
Kuala Lumpuronsitemid
Posted yesterday · via Workday
About this role
We exist to create positive change for people and the planet. Join us and make a difference too! Job Title: Machine Learning Operations Engineer Location: Kuala Lumpur, Malaysia Type: Permanent - Hybrid working, averaging 1 day per week in the office Due to growth, we are hiring for two Machine Learning Operations Engineer's to join us permanently on a hybrid working basis from our Kuala Lumpur. With this role, you will build, deploy and operate machine learning solutions on the organisation’s Databricks platform. In this role you will report to the Head of Data Platform and Services, the role partners with data science, data engineering and product teams to turn analytical prototypes into production-grade pipelines and services that are reliable, secure and scalable.…
Read the full description on 5050 BSI Prof Serv SCIIS's site →
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: python, databricks, spark, mlflow, git…
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 based in Kuala Lumpur. We weight your proximity and willingness to relocate.
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.
pythondatabrickssparkmlflowgitteams