AI Engineer

• Production-Grade AI: Build and maintain the infrastructure required to deploy, monitor, and scale machine learning models (LLMs, Computer Vision, or Recommendation Engines).
• MLOps Mastery: Architect automated CI/CD pipelines for machine learning, ensuring seamless model retraining and versioning.
• Performance Engineering: Optimize model inference for speed and cost. You’ll be the one making sure a complex model responds in milliseconds, not seconds.
• Data Orchestration: Collaborate with Data Engineers to build robust pipelines that feed high-quality data into your production models at scale.
• Integration Excellence: Work alongside our Software Development teams to wrap AI capabilities into intuitive, user-facing applications.

• No Legacy Bloat: We are building modern, cloud-native AI stacks from the ground up.
• The Best Tools: You’ll have access to the latest in GPU compute, Vector Databases (Pinecone, Milvus, Weaviate), and orchestration tools (Kubeflow, BentoML).
• Global Footprint: Your code won't just sit in a repo; it will power features used by a massive international user base.
• The Newbridge Hub: You’ll be part of an elite technical community in Vietnam, with a direct line to the world’s most advanced AI research and engineering practices.

• The Builder: You have 3+ years of experience in Software or Data Engineering, with a heavy focus on deploying AI/ML models.
• The Python Maestro: You are an expert in Python and familiar with frameworks like PyTorch or TensorFlow, but you also know your way around Docker, Kubernetes, and Cloud Infrastructure (AWS/GCP/Azure).
• The API Architect: You understand REST/gRPC and how to build secure, scalable endpoints for AI services.
• The Optimizer: You know that a model is only as good as its uptime. You live for monitoring logs, drift detection, and latency charts.

Newbridge Alliance