Technology Analysis Platform MLOps

Job description

Recruitment Background & Expected Role

CADDi is on a mission to “Unleash the potential of manufacturing.”

We operate “CADDi DRAWER,” a cloud-based system that supports digital transformation centered on the use of drawings, which are the most essential data in the manufacturing industry.

One of the issues we are currently facing in the development of this rapidly growing product is developer productivity. The inefficiencies in the development environment have become more noticeable, and they are becoming a hindrance to the development of features and a degradation of the developer experience. As an activity to resolve these issues, the need for Platform Engineering is increasing.

There are various interpretations and approaches to Platform Engineering in the world, but here, we will be working on providing tools and infrastructure to increase the development velocity by “separating concerns.”

Examples of anticipated tasks (not limited to)

Among these, in this post, you will be working on the following tasks

• 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.

\* Besides the team we are recruiting for this time, you may be assigned to other teams depending on your experience and preferences. (In that case, we would be happy to discuss this with you at the interview.)

\* After joining the company, your role may change due to organizational growth or an individual’s career perspective.

Interest and experience gained from this position

• Close collaboration with ML engineers and product management members, allowing you to expand your responsibilities depending on your interests and initiative.
• The fun of integrating a complex domain into a system
• Experience in solving difficult problems with highly motivated team members
• Experience in contributing to the scale of a product with technical skills
• Experience in developing products that are deployed globally
• Experience in providing value to society through the development of products that change

Organization

• Currently, the Analysis Platform team focuses on supporting modeling, ML serving, and operational workflows. Looking ahead, we aim not only to reduce the cognitive and operational burden around machine learning, but also to build a robust foundation for ML verification—ultimately shortening the lead time needed to validate business value.
• To achieve this, the Analysis Platform team will expand its scope beyond traditional MLOps. We will take on broader challenges such as improving annotation efficiency and developing mechanisms that enable faster and more reliable value validation.

MUST-HAVE REQUIREMENTS

• 5+ years of professional experience as a software engineer

• Experience leading software development

• We especially value experience leading design, development, operations, and the necessary communication involved in roles such as team lead or project driver, regardless of project size

• 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 (such as TypeScript, Rust, Java/Kotlin, Go, etc)

• General understanding of the core Computer Science concepts behind AI (such as Vector Space, Embeddings, or Inference) and the ability to leverage these principles to build and integrate AI-driven features into software platforms.

• Experience in development using public cloud platforms such as AWS, Google Cloud, etc.

• Fluent business communication skills in English, able to complete daily tasks in English, including text communication and meetings.（CEFR B1 or Higher level)

• Must currently reside in Vietnam or have plans to relocate. Foreign nationals must also hold a valid Vietnam work permit or be legally eligible to work in Vietnam.

NICE-TO-HAVE REQUIREMENTS

• Experience developing machine learning pipelines using tools such as Vertex AI Pipelines, Kubeflow, Apache Beam, or Spark
• Familiarity with at least one ML/AI framework such as scikit-learn, PyTorch, or TensorFlow.
• Development experience related to MLOps or SRE
• Experience collaborating with ML engineers to continuously improve and deliver machine learning and data science models
• Experience building and operating systems such as Data Lakes or Feature Stores
• Experience implementing initiatives to improve data quality for data-centric ML model improvement
• Experience planning and driving data utilization initiatives—internally or externally—using tools such as BigQuery or Redash
• Basic knowledge of algorithms related to machine learning, statistics, linear algebra, and computer science
• Experience working with Scrum or Agile methodologies.
• Conversational-level Japanese proficiency(Japanese Language Proficiency Test N2 or above is a guideline)

WE ARE LOOKING FOR THIS KIND OF PERSON

• Those who can sympathize with CADDi’s mission “Unleashing the Potential of the Manufacturing Industry”.
• Those who have a T-shaped ambition mindset to maximize their expertise by not only focusing on back-end and infrastructure, but also catching up on peripheral knowledge as needed.
• Those who are able to face essential issues and take action to solve them with a sense of ownership.
• Able to work through positive attitude and constructive discussions in fast-changing and uncertain situations.
• Able to communicate and discuss with an attitude of respect for others, taking into consideration their context and resolution

PRODUCT DEVELOPING ENVIRONMENT

• Front-end:TypeScript, React, Next.js
• Backend: Rust(axum),TypeScript, Node.js (Express,Fastify,NestJS), Python (FastAPI)
• Machine Learning/Algorithms: Rust, Python, OpenCV, PyTorch,TorchServe, Elasticsearch, Vertex AI
• Infrastructure: Google Cloud, Google Kubernetes Engine, Anthos Service Mesh, Istio, Cloudflare, Argo Workflows
• Event Bus: Cloud Pub/Sub
• DevOps: GitHub, GitHub Actions, ArgoCD, Kustomize, Helm, Terraform, Datadog, MixPanel, Sentry
• Data: CloudSQL (PostgreSQL), AlloyDB, BigQuery, dbt, trocco
• API: GraphQL, REST, gRPC
• Authentication: Auth0
• Development tools: GitHub Copilot, Figma, Storybook
• Communication Tools: Slack, Discord, JIRA, Miro, Confluence

RECRUITING STEPS

1. CV screening
2. Technical assignment (online coding test) * We place more importance on whether you can imagine that you can work together with us to develop a product, rather than on your knowledge of algorithms or the speed of your answers.
3. Online English speaking test
4. Technical interview (with engineer)
5. HR casual talk *This stage does not involve selection criteria; it serves as an opportunity to align on conditions and clarify any questions regarding the selection process.
6. Final interview (with CTO)
7. Offer meeting

• Please note that, depending on the situation, additional interviews or discussions may be proposed.
• If desired, we can arrange casual interviews with employees even during the selection process. Please feel free to consult with us.
• The average time from application to offer is about one month, but if you are in a hurry, please let us know. We will do our best to adjust the schedule to fit your job search timeline.

APPLICATION GUIDELINES & BENEFITS

1. Working style:

• Hybrid (come to Office at least once a week)
• Remote (depending on the case, and limited to those who can go on business trip due to Company orders)

2. Office address:

• HCMC: 7F, Gia Loc Building, No. 27-29 Nguyen Cuu Van Street, Ward 17, Binh Thanh District, HCMC
• Hanoi: Unit 9.03, 9F, The West Building, 265 Cau Giay Street, Cau Giay Ward, Hanoi

3. Employment type:

• Official full-time employee
• Probation period: 2 months

4. Holidays and leave:

• Annual paid leave: 12 days
• National holidays
• Year-end holidays (December 31 to January 3)
• Tet holidays
• Others (following Labor Regulations)

5. Benefits:

• 13th month salary
• Salary review: twice a year
• 100% monthly basic salary and mandatory social insurances in 2-month probation
• Premium Health Insurance
• Social insurance, health insurance, unemployment insurance, workers’ accident compensation insurance
• Annual health check-up
• Allowances such as: child-care allowance, commuting allowance, life event congratulatory gift, etc
• Growth support such as subsidy for server fee, support for attending external training courses
• Intensive training program (external or internal training courses, workshop etc)
• Devices: PC and display of desired specifications
• Awards: Company awards, every 6 month MVP awards
• Activities: Year-end-party, team building, etc