ML Infrastructure Engineer with GCP

Overview Job Title:

ML Infrastructure Engineer with GCP

Location:

Mountain View, CA — Onsite for 1 week once in a quarter at candidate's expense

Job Type:

W2

Duration:

Long Term

Note:

Only PST and MST candidates are required.

Responsibilities

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.

Qualifications

Must have:

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

Proficiency in Python and Java.

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

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

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

Strong understanding of containerization technologies (Docker, Kubernetes).

Excellent problem-solving and communication skills.

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

How to apply Kindly please share your resumes with srikar@isofttekinc.com or 707-435-3471

#J-18808-Ljbffr