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.
