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ML Infrastructure Engineer with GCP

Salary undisclosed

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Job Description

Job Description

Job Title: ML Infrastructure Engineer with GCP

Location: Mountain View, CA [Needs to be onsite for 1 week once in a quarter on your own expenses]

Job Type: W2

Duration: Long Term

Note: Only PST and MST candidates are required.

Must have:

Experience in Machine Learning engineer or Infrastructure roles, with a focus on Machine Learning infrastructure.

Proficiency in programming languages Python, Java

Experience with cloud platforms such as AWS, GCP, or Azure. GCP experience is strongly preferred.

Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn).

Knowledge of DevOps principles and tools (e.g., CI/CD pipelines, Terraform).

Strong understanding of Containerization technologies (e.g., Docker, Kubernetes).

Excellent problem-solving and communication skills.

Experience with big data technologies such as Apache Spark or Hadoop Preferred.

Kindly please share your resumes with [email protected] or 707-435-3471

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.
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