Machine Learning Engineer Python, AI, Computer Vision

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:

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

Examples of what success looks like in this role:

- Construct image recognition models and annotation system
- 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
- Study the use of large- scale language models (LLM) and large- scale visual models (LVM).

Interest and experience gained from this position

- 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.
- Experience working with members with expertise in a wide range of areas, including software as well as machine learning.
- Experience in challenging highly difficult technical issues with highly enthusiastic members.

Yêu cầu công việc

MUST- HAVE REQUIREMENTS

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

NICE- TO- HAVE REQUIREMENTS

- Experience in development and operation related to distributed processing
- Business level Japanese proficiency
- Experience with GPU- based data processing (CUDA, OpenCL, cudf, CuPy, etc.)
- 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

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

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.

* A Casual Talk with HR will be scheduled right after the Technical Interview to follow up with the candidate.
- Final Interview (with CTO)
- Offer Meeting (in case the candidate passes all the interviews)

APPLICATION GUIDELINES & BENEFITS

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

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

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

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

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

- Social insurance, health insurance, unemployment insurance, workers’ accident compensation insurance based on monthly basic salary during the Labor Contract

- Annual health check- up
- Premium Health Insurance
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; support attending conference; etc)
- Awards: Company awards, every 6 month MVP awards
- Devices: PC and display of desired specifications
- Activities: Year- end- party, team building, etc

Cập nhật gần nhất lúc: 2024-12-29 07:35:02