Analysis Platform MLOps

Top 3 Reasons To Join Us The Job Job owner: ITviec's Client Job Domain: B2B Manufacturing Tech Platform / Supply Chain & Procurement Optimization Solutions. Working Model: Hybrid Build API and batch execution environments for running machine learning model inference, as well as deployment environments using CI/CD. Implement monitoring, performance tuning, and other improvements to enhance site reliability in production environments. Optimize the cost of inference and training platforms. Create the deployment and operation processes based on input from the modeling and platform teams. Actively experiment with new ML, MLOps, and infrastructure tools, quickly validating ideas through proof-of-concepts and applying what works to real company products. Your Skills and Experience MUST-HAVE REQUIREMENTS 5+ years of professional experience as a software engineer. Experience leading software development. Experience leading design, development, operations, and stakeholder communication as a team lead or project driver. At least 2 years of experience in ONE or more of the following: - Developing shared platforms or backend systems using cloud infrastructure. - Designing and operating Machine Learning systems (MLOps) with consideration for latency, cost, and non-functional requirements. - Developing Generative AI applications using LLMs, RAG architectures, and Vector Databases. Hands-on experience with statically typed programming languages (TypeScript, Rust, Java/Kotlin, Go, etc.). General understanding of AI-related Computer Science concepts such as Vector Space, Embeddings, and Inference. Experience using public cloud platforms such as AWS or Google Cloud. Fluent business communication skills in English (CEFR B1 or above). Must currently reside in Vietnam or be willing and legally eligible to work in Vietnam. NICE-TO-HAVE REQUIREMENTS Experience developing machine learning pipelines using Vertex AI Pipelines, Kubefl ow, Apache Beam, or Spark. Familiarity with ML/AI frameworks such as scikit-learn, PyTorch, or TensorFlow. Development experience related to MLOps or SRE. Experience collaborating with ML Engineers and Data Science teams. Experience building and operating Data Lakes or Feature Stores. Experience improving data quality for data-centric ML model development. Experience planning and driving data utilization initiatives using tools such as BigQuery or Redash. Basic knowledge of machine learning, statistics, linear algebra, and computer science algorithms. Experience working with Scrum or Agile methodologies. Why You'll Love Working Here A Top-Tier World-Ranking Corporation: Join a fast-growing Japanese tech pioneer that has raised over $200M and is leading the global B2B manufacturing and supply chain platform domain. Latest Technology Updates: Work with the most updated technologies, including advanced AI-driven data platforms, modern cloud architectures, and sophisticated search engines to handle complex engineering data. Clear Career Progression Roadmap: Benefit from a transparent and clearly defined path for career advancement within a high-caliber global engineering team that fosters extreme ownership and technical excellence.