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Analysis Platform MLOps

ITviec Recruitment Consulting · Hồ Chí Minh
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Type
Full-time
Work mode
On-site
Level
Staff
Industry
Other
Salary
Thương lượng
Location
Not Available, Hồ Chí Minh, Hồ Chí Minh

Overview

  • 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.

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.
  • 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.

Benefits

Training

Summary of facts from the official posting. View original ↗

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