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Machine Learning Engineer

3 weeks ago

Thành phố Hồ Chí Minh, Vietnam CADDI VIETNAM Co., Ltd. Full time

**CADDI VIETNAM Co., Ltd.**:
CADDi - Japan leading company, unleashes the potential of manufacturing with technology development
- Company type
- IT Product
- Company industry
- Manufacturing and Engineering
- Company size
- 1-50 employees
- Country
- Japan
- Working days
- Monday - Friday
- Overtime policy
- No OT
- 7F, Gia Loc Building, No. 27-29 Nguyen Cuu Van, Ward 17, Binh Thanh, Ho Chi Minh
- Room 508, 5F, IDMC My Dinh, 15 Pham Hung Str., My Dinh 2 Ward, Nam Tu Liem, Ha Noi
- Hybrid
- Skills:

- Python

Computer Vision

AI

**Top 3 reasons to join us**:

- Top-ranking of corporate value increase rate
- Global Product Company
- Premium Health Insurance; Training in Japan

**Job description**:
**JOB DESCRIPTION**

**Expected Role**

can leverage CADDi's data and provide value to our products, as well as develop stable systems in a team environment.

**Responsibility**:

- Train, evaluate, and deploy sophisticated machine learning models to enhance the features of our drawing searching system.
- Participate in the full software development cycle: design, develop, QA, deploy, experiment, analyze and iterate
- Collaborate across disciplines and with other ML teams to find technical solutions to solve complex challenges
- Monitor and continuously improve the deployed models.

**Examples of what success looks like in this role**:

- Analyze drawing images and develop technology to extract information described on the drawings.
- Construct image recognition models and annotation system
- Study the use of large-scale language models (LLM) and large-scale visual models (LVM).
- Collaborate with data science teams to bring prototype models to production
- Raise the bar for engineering excellence and delivery

**Interest and experience gained from this position**
- Experience in challenging highly difficult technical issues with highly enthusiastic members.
- Experience working with members with expertise in a wide range of areas, including software as well as machine learning.
- Experience in solving problems by taking into account how to develop the value of technology as a business.
- The position is close to MLOps and product management members, so you will be able to expand your work depending on your will.

**Your skills and experience**:
**MUST-HAVE REQUIREMENTS**
- Solid knowledge of algorithms related to machine learning, statistics, linear algebra, and computer science
- Experience working with machine learning to solve business problems
- Experience improving the accuracy of machine learning and statistical models
- Proven track record of deploying machine learning models to production environments
- Experience working with cloud services such as Google Cloud and AWS
- Business communication skills in English

**NICE-TO-HAVE REQUIREMENTS**
- Experience in image recognition, OCR, and 3D analysis
- Experience with GPU-based data processing (CUDA, OpenCL, cudf, CuPy, etc.)
- Experience developing machine learning pipelines using Vertex AI Pipeline, kubeflow, Apache Beam, Spark, etc.
- Experience in development and operation related to distributed processing
- Business level Japanese proficiency

**PRODUCT DEVELOPING ENVIRONMENT**

Languages:

- Front-end: TypeScript
- Backend: Rust, TypeScript, Python

Framework/ Library
- Frontend: React, Next.js, WebGL, WebAssembly
- Backend: Rust (axum), Node.js (Express, Fastify, NestJS), PyTorch

Infrastructure: Google Cloud, Google Kubernetes Engine, Anthos Service Mesh
Database/Data Warehouse: CloudSQL (PostgreSQL), AlloyDB, Firestore, BigQuery
APIs: GraphQL, REST, gRPC
Monitoring: Datadog, Sentry, Cloud Monitoring
Environment construction: Terraform
CI/CD: Github Actions
Authentication: Auth0
Development tools: GitHub, GitHub Copilot, Figma, Storybook
Communication tools: Slack, Discord, JIRA, Miro, Confluence

**RECRUITING STEPS**
- CV screening
- 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.
- HR Interview
- Technical Interview (with engineer)
- Technical interview may be scheduled more than 1 time.
- Final Interview (with CTO)

**Why you'll love working here**:
**APPLICATION GUIDELINES & BENEFITS**

1. Working style:

- Hybrid (come to Office at least once a week)

2. Office address:

- HCMC: 7F, Gia Loc Building, No. 27-29 Nguyen Cuu Van, Ward 17, Binh Thanh District, HCMC
- Hanoi: Room 508, 5F, IDMC My Dinh, 15 Pham Hung Str., My Dinh 2 Ward, Nam Tu Liem Dist., 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
- Social insurance,