ML Ops Support
Chennaionsite
Posted 3 days ago · via Workday
About this role
MOL Ops Engineer R2037 for Ford Direct ML Ops Support (1) Job Description (A) Experience in Automotive and B2B areas. Designing the data pipelines and engineering infrastructure enterprise machine learning systems at scale (B) Take offline models data scientists build and deploy them into machine learning production system using Databricks (C) Identify and evaluate new technologies to improve performance, maintainability, and reliability of production models including new features in Databricks (D) Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.…
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, aws, azure, gcp…
2
Level fit
We check your title trajectory against the seniority signal of the role.
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 Chennai. 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.
pythondatabricksawsazuregcpcloudformationkubernetesdockerterraformjenkinsgitlabteams