MLOps Engineer (Google Cloud Platform Specialization)

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 6 Month(s)

Skills

Python
GCP services
including Vertex AI
Google Kubernetes Engine (GKE)
Cloud Run
BigQuery
Cloud Storage
and Cloud Composer
Data proc or PySpark and managed Airflow.
infrastructure-as-code - Terraform.

Job Details

 

Skills: -

Mandatory skills

Technical Skills:

  • Proficiency in programming languages such as Python.
  • Expertise in Google Cloud Platform services, including Vertex AI, Google Kubernetes Engine (GKE), Cloud Run, BigQuery, Cloud Storage, and Cloud Composer, Data proc or PySpark and managed Airflow.
  • Experience with infrastructure-as-code - Terraform.
  • Familiarity with containerization (Docker, GKE) and CI/CD pipelines, GitLab and Bitbucket.
  • Knowledge of ML frameworks (TensorFlow, PyTorch, scikit-learn) and MLOps tools compatible with Google Cloud Platform (MLflow, Kubeflow) and Gen AI RAG applications.
    • Understanding of data engineering concepts, including ETL pipelines with BigQuery and Dataflow, Dataproc - Pyspark.
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