Data Science & ML Ops Engineer

Phoenix, AZ, US • Posted 30+ days ago • Updated 4 days ago

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Contract W2

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Job Details

Skills

Apache Spark
Docker
Machine Learning (ML)
PyTorch
Machine Learning Operations (ML Ops)
TensorFlow
XGBoost
Python

Summary

Hi,

Role: Data Science & ML Ops Engineer

Location : SF Bay Area, CA / Concord CA / Phoenix ,AZ

Seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions.

10+ Years of professional experience in Software Engineering & 3+ Years in AIML, Machine Learning Model Operations.
Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).
Experience with cloud platforms and containerization (Docker, Kubernetes).
Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks.

Thanks & Regards..,

Arun Prasath

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10121364
Position Id: 8853130
Posted 30+ days ago

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Data Science & ML Ops Engineer

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Job Details

Skills

Summary

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