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by Tyler Nguyen

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LizAI Vietnam

LizAI – Providing Life-Changing Solutions To Patients

  • Company type: IT Product
  • Company size: 1-50 employees
  • Country: United States
  • Working days: Monday – Friday

(Mid/Senior) Machine Learning Engineer

7th Floor, KicoTrans Building, 44-46-48 Bach Dang 2, Ward 2, Tan Binh District, HCMC
At office
Machine Learning, Python, AI

Job description

General Summary

LizAI is seeking a talented individual who is passionate about building the next generation of AI in Healthcare. You will work with many cross-functional teams and be responsible for, but not limited to, designing, building, and maintaining the highly scalable platform. You are expected to display a high level of determination to complete work in a resourceful and proactive manner.

Key Responsibilities

  • As a software engineer, you will work on multiple projects critical to LizAI’s needs, with our fast-paced business growing and evolving. Our engineers need to be versatile and enthusiastic about tackling new problems across the full-stack as we continue pushing technology forward.
  • You will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
  • Design, code, and test new features, making marked contributions to the application and process, emphasizing performant, decoupled, testable, and maintainable code.
  • Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Triage product or system issues and debug/track/resolve them by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Lead and mentor new hires or junior engineers.
  • Report the data to the team.
  • Comply with the data storage policies of LizAI.
  • Possible international business travels.

Your skills and experience

Preferred qualifications:

  • 2 years of experience with machine learning algorithms and tools (e.g., large language model), artificial intelligence, deep learning, and/or natural language processing.
  • Ability to work with a diverse, global community-based in many different locations and time zones.
  • Demonstrate excellent teamwork and leadership skills.
  • ​​Excellent verbal and written communication skills and ability to manage multiple tasks while meeting timelines and adapting to changing priorities.
  • Strong organizational skills, high attention to detail, and ability to work in a collaborative, cross-functional environment.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages or 1 year of experience with an advanced degree.
  • 2 years of experience with data structures or algorithms in an academic or industry setting.
  • Experience with deep learning frameworks such as TensorFlow, PyTorch, Scikit Learn, or Keras.
  • Experience with natural language processing (NLP) and conversational AI.
  • Experience in building up end-to-end Machine Learning pipelines.
  • Good command of English communication.

Why you’ll love working here

  • LizAI offers opportunities for your career growth and competitive compensation.
  • Our consideration will be entirely based on your performance.
  • Our leaders at every level, including the senior leaders from Harvard University, well-known institutions, and corporations, will provide training and support to your growth. Domestic and international trainings will be included and based on your performance.
  • Compensation includes monthly (base) salary, year-end bonus (13th month-salary and more), and performance-based bonuses.
  • Monthly (base) salary is negotiable and up to $ 2,000.
  • Factors for consideration are level, job-related skills, experience, and relevant education or training.
  • Your compensation and promotion will be reviewed and adjusted at any time as you grow and develop within the role.
  • Additional benefits include, but not limited to, soft-skills, English, and technical trainings.
  • We look forward to sharing additional details on compensation during your hiring process.

Apply your CV via: hr@lizai.co

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