Machine Learning Engineer (Python, AI)

LizAI Vietnam
+2
Tầng 7, KicoTrans Building, 44-46-48 Bạch Đằng 2, Phường 2,, Quận Tân Bình, TP Hồ Chí Minh
Tại văn phòng
Đăng 7 ngày trước

3 Lý do để gia nhập công ty

  • Provide New Macbook/Laptop
  • Great team&project, Big bonus
  • Trip in domestic or outbound

Mô tả công việc

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 AI-Powered Platform. The ideal candidate should have  experience in machine learning, data mining, and statistical algorithms. You are expected to display a  high level of determination to complete work in a resourceful and proactive manner. 

Key Responsibilities 

  • As a Machine Learning 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. 
  • Experience with Python is required, and software development experience is a plus. • 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. 
  • Report the data to the team. 
  • Comply with the data storage policies of LizAI. 
  • Possible international business travels. 

Yêu cầu công việc

 Minimum qualifications: 

  • Bachelor’s degree or equivalent practical experience. 
  • 2 years of experience as a machine learning engineer using Python, and in software development  with one or more programming language. 
  • 2 years of experience with natural language processing (NLP), conversational AI, zero-shot/few shot prompting, chain-of-thought prompting, and advanced retrieval-augmented generation  (RAG). 
  • 2 years of experience in building end-to-end machine learning pipelines and AI-driven software  or platforms. 
  • Good command of English communication. 

Preferred qualifications: 

  • A minimum of 2 years of experience working with large language models (LLMs), natural  language processing (NLP), entity recognition, prompt engineering, and LLM development is  preferred. 
  • 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

Tại sao bạn sẽ yêu thích làm việc tại đây

  • LizAI offers opportunities for your career growth and competitive compensation.  
  • Base salary is only a part of our total compensation package and is determined within a range based on  role, level, and location. Other factors for consideration are job-related skills, experience, and relevant  education or training.  
  • As you grow and develop within the role, your compensation will be reviewed and adjusted. 
  • Year-end bonuses and additional benefits are included. We look forward to sharing additional details on  compensation during your hiring process.

LizAI - Providing Life-Changing Solutions To Patients

Mô hình công ty
Sản phẩm
Lĩnh vực công ty
AI, Blockchain và Dịch Vụ Deep Tech
Quy mô công ty
1-50 nhân viên
Quốc gia
United States
Thời gian làm việc
Thứ 2 - Thứ 6
Làm việc ngoài giờ
Không có OT

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