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Mô Tả Công Việc
JOB DESCRIPTIONExpected RoleThe 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'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 deliveryInterest 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.
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Yêu Cầu Công Việc
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 ENVIRONMENTLanguages:- Front-end: TypeScript- Backend: Rust, TypeScript, PythonFramework/ Library- Frontend: React, Next.js, WebGL, WebAssembly- Backend: Rust (axum), Node.js (Express, Fastify, NestJS), PyTorchInfrastructure: Google Cloud, Google Kubernetes Engine, Anthos Service MeshDatabase/Data Warehouse: CloudSQL (PostgreSQL), AlloyDB, Firestore, BigQueryAPIs: GraphQL, REST, gRPCMonitoring: Datadog, Sentry, Cloud MonitoringEnvironment construction: TerraformCI/CD: Github ActionsAuthentication: Auth0Development tools: GitHub, GitHub Copilot, Figma, StorybookCommunication 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.- 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
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Hình thức
Full-time
Quyền Lợi
APPLICATION GUIDELINES & BENEFITS1. 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., Hanoi3. Employment type:- Official full-time employee- Probation period: 2 months4. Holidays and leave:- Annual paid leave: 12 days- National holidays- Year-end holidays (December 31 to January 2)- 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- Employee Stock-option- Premium Health Insurance- Social insurance, health insurance, unemployment insurance, workers’ accident compensation insurance- Annual health check-up- 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
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