Machine Learning Intern

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☞ Travel and Pay Software Solution

视图: 103

更新日: 10-12-2024

位置: Ho Chi Minh

类别: 高科技 IT-硬件/网络 IT-软件

招聘人数: 2 người

水平: Thực tập sinh

性别: Không yêu cầu

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职位描述

Mô tả công việc

HRS, a pioneer in business travel, aims to elevate every stay through innovative technology. With over 50 years of experience, their digital platform, driven by ProcureTech, TravelTech, and FinTech, transforms how companies and travelers Stay, Work, and Pay.

HRSs exponential growth since 1972 serves over 35% of the global Fortune 500 and leading hotel chains.

Join HRS to shape the future of business travel, empowered by a culture of growth and setting new industry standards worldwide.

Responsibilities

  • Assist in building ML models for our products.
  • Assist in extending and improving existing ML models.
  • Work alongside data engineers to create data and model pipelines and embed AI and analytics into the business decision processes.
  • Integrate ML models to end-users and run experiments.
  • Run tests, perform statistical analysis, interpret test results, and perform tuning and scaling.

工作要求

Yêu cầu ứng viên
  • Study in computer science, mathematics or comparable.
  • Knowledge of theoretical and applied statistics and machine learning.
  • Knowledge of building and training ML, AI models.
  • Able to work with Tensorflow, PyTorch.
  • Knowledge in building data science models and of programming with Python and SQL.
  • Good to have:
  • Knowledge of MLOps to build production-ready pipelines.
  • Knowledge of Docker container
  • Knowledge of Azure AI.
  • Understanding of distributed systems, CI/CD, and container technologies.

工作兴趣

Quyền lợi
  • Working and growing with a passionate and talented team.
  • Attractive allowances.
  • Flexible working hours.
  • Various training on hot-trend technologies, best practices, and soft skills.
  • Year-end party, team building, etc.
  • Free in-house entertainment facilities, coffee, and snacks (instant noodles, cookies, milk, soft drinks...)
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最后期限: 09-01-2025

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