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 [email protected] or 707-435-3471
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