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HCL Technologies

Leadvisors Tower, 643 Pham Van Dong, Hà Nội

Quy mô công ty : 100-499

Xem thêm

Tóm lược

  • 100-499
  • Product
  • Việt Nam

Data Engineer

HCL Technologies

  • Từ Liêm, Hà Nội
  • 2000 - 3000 USD
  •  Toàn thời gian
  •  English
  •  Có kinh nghiêm (Nhân viên)
1
1

  •  Ngày Đăng:26/05/2023

  • Hết hạn
Data Engineer
Hết hạn
Yêu cầu kỹ thuật: Python , MS SQL , Machine Learning , AI (Artificial Intelligence) , Data Modeling , Architecture , AWS , Terraform , GPT , NLP , MLOps , CI/CD

Mô tả công việc

Tóm tắt công việc

We are looking for a talented Data Engineer to join our team and work on developing an internal enterprise chatbot using GPT and Llama models. 

The ideal candidate will be responsible for designing, building, and maintaining the data pipeline for the project, ensuring that data is available, reliable, and accurate for machine learning models. 

Key Responsibilities: 

  • Design, build, and maintain the data pipeline for Machine Learning models 
  • Develop and maintain data pipelines for processing and storing large amounts of data
  • Collaborate with data scientists and machine learning engineers to ensure data is ready for use by the chatbot. 
  • Design and implement data models and schema to support the chatbot's natural language processing capabilities. 
  • Develop and maintain data quality standards and processes to ensure data accuracy and completeness. 
  • Ensure data security and compliance with data privacy regulations. 
  • Continuously monitor and optimize the performance of the data infrastructure and pipelines 
  • Provide technical guidance and support to other team members as needed.

• 18 paid leaves/year (12 annual leaves and 6 personal leaves) 

• Insurance plan based on full salary + 13th month salary + Performance bonus 

• Meal allowance of 730,000 VND/month 

• 100% full salary and benefits as an official employee from the 1st day of working 

• Medical benefit for employee and family 

• Working in a fast-paced, flexible, and multinational working environment. Chance to travel onsite (in 53 countries) 

• Free snacks, refreshment, and parking 

• Internal training (Technical & Functional & English)

• Working time: 8:30 AM - 6:00 PM from Mondays to Fridays

Yêu cầu công việc

Must-have requirements 

  • At least 4 years of experience working as a Data Engineer
  • Good experience in some projects with Machine Learning 
  • Experience with Data Staging, Data Transformation and Change Data Management
  • Good experience in Advanced SQL
  • Good Python skills
  • Experience in AWS platform
  • Good command of English communication

Good-to-have requirements.

  • Relative experience in declarative CI/CD or DevOps 
  • Relative experience in Infrastructure as a Code (IaaC) (i.e., Terraform) 
  • Experience with automated testing 
  • Relative experience in Data Management: Data Governance, Data Architecture, Data Modelling, Data Quality, Data integration 
  • Experience in designing and implementing machine learning models using GPT and LLaMA models
  • Experience in MLOps
  • Experience with natural language processing (NLP) and conversational AI is preferred.

Ngôn ngữ

    • English

    • Nói: Intermediate - Đọc: Intermediate - Viết: Intermediate

Yêu cầu kỹ thuật

  • Python
  • MS SQL
  • Machine Learning
  • AI (Artificial Intelligence)
  • Data Modeling
  • Architecture
  • AWS
  • Terraform
  • GPT
  • NLP
  • MLOps
  • CI/CD

NĂNG LỰC

  • Communication Skills

Tìm kiếm công việc phù hợp

Thông tin doanh nghiệp

HCL Technologies is a next-generation global technology company.

We help enterprises reimagine their businesses for the digital age. With a worldwide network of R&D, innovation labs and delivery centers, and 150,000+ ‘Ideapreneurs’ working in 49 countries, HCL serves leading enterprises across key industries, including 250 of the Fortune 500 and 650 of the Global 2000. HCL generated consolidated
revenues of US$ 9.93 bn for 12 Months as of 30 th June, 2020.

We offer an integrated portfolio of products, solutions, services, and IP through our Mode 1-2-3 strategy built around Digital, IoT, Cloud, Automation, Cybersecurity, Analytics, Infrastructure Management and Engineering Services,  amongst others, to help enterprises reimagine their businesses for the digital age.

Tìm kiếm công việc phù hợp

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