Data Science & ML Ops Engineer

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 6 Month(s)

Skills

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

Job Details

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

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