Blip Delivery Inc | Google Cloud Engineer

2 days ago

los angeles, United States Blip Delivery Inc Full time

At Blip Recon X, we are revolutionizing the world of aerial data capture and search with cutting-edge AI and machine learning. Our innovative solutions empower businesses with real-time insights, advanced analytics, and scalable technologies. Join our team to be part of a groundbreaking mission in AI-driven drone operations.

Role Overview

We are seeking a skilled and passionate Google Cloud Engineer to architect, deploy, and manage our AI/ML systems on Google Cloud Platform (GCP). You will be instrumental in building scalable, secure, and high-performance cloud infrastructure for our aerial data solutions.

Key Responsibilities

  • Design and Implementation: Build scalable cloud architectures using Google Cloud services, including Vertex AI, BigQuery, and Kubernetes Engine.
  • AI/ML Integration: Develop pipelines for training and deploying machine learning models, including object detection and license plate recognition (LPR).
  • Data Management: Optimize storage and processing of large-scale aerial data using Cloud Storage, BigQuery, and Dataflow.
  • Automation: Create infrastructure as code (IaC) with Terraform or Deployment Manager.
  • Monitoring & Optimization: Ensure cloud infrastructure is secure, cost-effective, and highly available.
  • Collaboration: Work closely with data scientists, developers, and product teams to support AI-driven solutions.
  • Innovation: Stay updated on GCP advancements and recommend new technologies to improve our solutions.

Qualifications

Required Skills:

  • Experience with Google Cloud Platform (GCP), including Compute Engine, Vertex AI, BigQuery, and Cloud Functions.
  • Proficiency in infrastructure as code (IaC) using Terraform, Deployment Manager, or similar tools.
  • Strong knowledge of containerization and orchestration with Docker and Kubernetes (GKE).
  • Experience in data processing pipelines with Cloud Pub/Sub and Dataflow.
  • Scripting skills in Python, Bash, or similar languages.
  • Knowledge of machine learning workflows and frameworks (e.g., TensorFlow, PyTorch).
  • Familiarity with DevOps practices and CI/CD tools (e.g., Jenkins, GitLab CI/CD).

Preferred Skills:

  • GCP certifications such as Professional Cloud Architect or Data Engineer.
  • Experience with real-time video processing and analytics.
  • Expertise in geospatial data analysis using BigQuery GIS or Earth Engine.
  • Background in AI/ML for computer vision or natural language processing.

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