MLOps Engineer (Google Cloud Platform Specialization)

Overview

On Site
Accepts corp to corp applications
Contract - Long term

Skills

GCP
ML
OPS

Job Details

Our client is looking for MLOps Engineer (Google Cloud Platform Specialization) for a long tern project in Remote, below is the detailed requirement.

Job Title : MLOps Engineer (Google Cloud Platform Specialization)
Location : Remote

Duration : Long term

Position Overview:

The MLOps Engineer (Google Cloud Platform Specialization) is responsible for designing, implementing, and maintaining infrastructure and processes on Google Cloud Platform (Google Cloud Platform) to enable the seamless development, deployment, and monitoring of machine learning models at scale. This role bridges data science and data engineering, Infrastructure, ensuring that machine learning systems are reliable, scalable, and optimized for Google Cloud Platform environments.

Job Description:

  • Bachelor's degree in Computer Science or equivalent, with minimum 10+years of relevant experience.
  • Must be Proficiency in programming languages such as Python.
  • You must be 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.
  • Strong 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.
  • Demonstrate excellent communication skills including the ability to effectively communicate with internal and external customers.
  • Ability to use strong industry knowledge to relate to customer needs and dissolve customer concerns and high level of focus and attention to detail.
  • Strong work ethic with good time management with ability to work with diverse teams
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