Senior ML/AI Engineer - AWS, Databricks & MLOps (Public Sector)
Singaporeonsitesenior
Posted 1w ago · via Workable
About this role
At Xtremax, we're looking for a Senior ML/AI Engineer to help build the engineering foundations that make machine learning and AI systems reliable in production. Working across AWS and Databricks, you'll help turn experiments and notebooks into maintainable services, reusable pipelines and operational AI capabilities. You'll work across the ML lifecycle, from data preparation and feature engineering through experiment tracking, deployment, monitoring, evaluation, retraining and retirement. Using technologies such as Python, PySpark, SQL, Databricks and MLflow, you'll improve the reliability, reproducibility and cost efficiency of AI workloads while establishing reusable engineering patterns for the wider team.…
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, sql, databricks, aws, s3…
2
Level fit
This role is senior-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 Singapore. 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.
pythonsqldatabricksawss3lambdaeksglueiamkubernetesdockerterraformjenkinsgithub actionsgitlab cigrafanaprometheusopentelemetrysparkpysparkairflowmlflowgitgithub
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