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.