MLOps Engineer

Noidaonsitemid

Posted today · via Workday

See if I'm a fit →Tailor my resume for this role →Apply on Workday ↗

About this role

Job Description Purpose of the role To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources. Accountabilities Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification. Execution of data cleansing and transformation tasks to prepare data for analysis. Designing and building data pipelines to automate data movement and processing. Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems. Documentation of data quality findings and recommendations for improvement.…

Read the full description on Barclays's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

Skills match

For this role: python, bash, aws, lambda, sagemaker…

Level fit

This role is mid-level. We check your trajectory against it.

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

Location fit

This role is based in Noida. We weight your proximity and willingness to relocate.

Score yourself on this role.

Free · no card · written explanation included

See if I'm a fit →

Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonbashawslambdasagemakerkubernetesdockerjenkinsgithub actionsmlflowkubeflowbedrockgithubteams

More at Barclays

See all open jobs at Barclays →