{"id":2580673,"url":"https://alion.io/job/newbridge-alliance-ai-engineer-all-levels","title":"AI Engineer (all levels)","company":{"id":4423579,"name":"Newbridge Alliance","domain":"newbridgealliance.com","url":"https://alion.io/company/newbridgealliance","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ho Chi Minh City, Vietnam"],"countries":["VN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BentoML","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"gRPC","optional":false},{"name":"Jupyter Notebook","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Milvus","optional":false},{"name":"Pinecone","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Rest API","optional":false},{"name":"TensorFlow","optional":false},{"name":"Weaviate","optional":false}],"status":"live","first_seen_at":"2026-10-15T01:52:06Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-23T21:25:05Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"AI Engineer - The Architect of Scalable Intelligence\nThe Mission: Turning Research into Reality\nNewbridge Vietnam is looking for a powerhouse AI Engineer to join a high-impact, long-term engagement for one of our premier global clients.\nWe don't just \"experiment\" with AI; we ship it. You will be responsible for taking state-of-the-art models and turning them into resilient, high-performance production systems. If you find the bridge between a Jupyter Notebook and a globally distributed API exhilarating, you belong here.\nThe Impact You’ll Make\nProduction-Grade AI: Build and maintain the infrastructure required to deploy, monitor, and scale machine learning models (LLMs, Computer Vision, or Recommendation Engines).\nMLOps Mastery: Architect automated CI/CD pipelines for machine learning, ensuring seamless model retraining and versioning.\nPerformance Engineering: Optimize model inference for speed and cost. You’ll be the one making sure a complex model responds in milliseconds, not seconds.\nData Orchestration: Collaborate with Data Engineers to build robust pipelines that feed high-quality data into your production models at scale.\nIntegration Excellence: Work alongside our Software Development teams to wrap AI capabilities into intuitive, user-facing applications.\nWhy This Role is Different\nNo Legacy Bloat: We are building modern, cloud-native AI stacks from the ground up.\nThe Best Tools: You’ll have access to the latest in GPU compute, Vector Databases (Pinecone, Milvus, Weaviate), and orchestration tools (Kubeflow, BentoML).\nGlobal Footprint: Your code won't just sit in a repo; it will power features used by a massive international user base.\nThe 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.\nWho You Are\nThe Builder: You have 3+ years of experience in Software or Data Engineering, with a heavy focus on deploying AI/ML models.\nThe 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).\nThe API Architect: You understand REST/gRPC and how to build secure, scalable endpoints for AI services.\nThe Optimizer: You know that a model is only as good as its uptime. 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