Machine Learning Engineer (Python, Cloud, AI)

JOB DESCRIPTION

Expected Role

The Machine Learning Engineer will develop models in machine learning and data science, and build, maintain, and operate the infrastructure to continuously deliver these models to the service. The successful candidate will be expected to develop highly accurate modeling techniques thatcan leverage CADDi&039;s data and provide value to our products, as well as develop stable systems in a team environment.

Responsibility:

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

Examples of what success looks like in this role:

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

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.
- The position is close to MLOps and product management members, so you will be able to expand your work depending on your will.
- Experience in solving problems by taking into account how to develop the value of technology as a business.

Yêu cầu công việc

MUST- HAVE REQUIREMENTS

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

NICE- TO- HAVE REQUIREMENTS

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

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

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

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.
- Casual talk with Recruiter
* This interview is not a selection process, but an opportunity to discuss conditions and resolve any questions you may have about the selection process.

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

APPLICATION GUIDELINES & BENEFITS

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

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

Employment type:
- Probation period: 2 months
- Official full- time employee

Holidays and leave:
- Year- end holidays (December 31 to January 2)
- Annual paid leave: 12 days
- Others (following Labor Regulations)
- National holidays
- Tet holidays

Benefits:
- Salary review: twice a year
- 100% monthly basic salary and mandatory social insurances in 2- month probation
- 13th month salary

- Employee Stock- option
- Social insurance, health insurance, unemployment insurance, workers’ accident compensation insurance
- Devices: PC and display of desired specifications
- Awards: Company awards, every 6 month MVP awards
- Annual health check- up
- Premium Health Insurance
- Intensive training program (external or internal training courses, workshop etc)
- Activities: Year- end- party, team building, etc

Cập nhật gần nhất lúc: 2024-09-06 10:15:02