On-Site AI Data Engineer: ML Pipelines & MLOps
tech junctionPhoenix (AZ)
On-Site AI Data Engineer: ML Pipelines & MLOps
Posted 2 days ago
tech junctionPhoenix (AZ)
SENIORITY
Senior
About the role
Tech Junction Ltd is seeking an experienced AI Data Engineer to design and operate scalable data pipelines, feature stores, and MLOps tooling across cloud platforms. This on-site C2C contract requires strong Python/SQL expertise and hands-on ML data workflows.
You will work with data scientists to productionize models, implement data governance, and optimize ingestion with Spark, Ray, or Dask on AWS/Azure/GCP. Local onsite presence in Scottsdale, AZ is required.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
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Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.