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.

Blip Delivery Inc

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