<noframes id="lx9dz"><form id="lx9dz"></form>
    <address id="lx9dz"></address>
       

          <em id="lx9dz"><span id="lx9dz"></span></em>
          
<span id="lx9dz"></span>
          <noframes id="lx9dz"><form id="lx9dz"></form>
          <address id="lx9dz"></address>
          <noframes id="lx9dz">
            
    
            400-885-9898
            更新于 3月25日
            智聯APPAPP
            舉報
            Senior Software Engineer (ID: 0000L1NT)
            面議
            • 廣州天河區
            • 3-5年
            • 本科
            • 全職
            • 招1人
            職位描述
            PythonK8s云計算平臺有AI背景DEVOPS
             
              
               
Principal responsibilities
   
                  
            • Research on state-of-the-art algorithms and models in NLP or Multimodal pre-trained models, especially in document understanding / document intelligence domain. Provide scalable technical implementation for real business challenges.
              •     
            • Research, develop, and implement state-of-the-art techniques in the field of Large Language Models (LLM) and Generative AI.
              •     
            • Conduct Proof-of-Concept (POC) and prototyping to explore and validate the flexibility of innovated ideas.
              •     
            • Understand business objectives and develop ML models that help to achieve them
              •     
            • Data preparation, data cleaning, data verification to make sure data quality for model training
              •     
            • Training models and hyper-parameters tuning
              •     
            • Model deployment, Model serving and integrate them within the business applications and embed in the business processes.
              •     
            • Work together with testing engineers to construct and execute test cases to verify model accuracy.
              •     
            • Contribute to the MLOps toolkits to manage machine learning lifecycle more effectively.
              •    
              
             
             
              
               Qualifications   
              
               
                  
            • Doctor, Masters, or Bachelors degree in Machine Learning, Natural Language Processing, Computer Science, Data Science, Statistics or related areas.
              •     
            • Expertise in one or more of NLP, Multimodal Representation Learning, Gen AI / LLM.
              •     
            • Experienced in fine-tuning and developing LLM. Strong familiarity with emerging trends in LLMs and open-source platforms
              •     
            • Excellent programming skills in Python.
              •     
            • Familiarity with common ML frameworks like Pytorch, and basic libraries like sklearn, pandas, etc.
              •     
            • Research experience in document understanding / document intelligence fields is a big plus. E.g. Visual rich document classification, information extraction, document layout analysis, question answering, generative AI, LLM etc.
              •     
            • Understanding of MLOps or machine learning Model Lifecycle Management concepts
              •     
            • Strong analytical skills, problem solving skills, communication and interpersonal skills
              •     
            • Able to work under pressure and demonstrate initiative, enthusiasm and rapid learning capability.
              •     
            • Willing to work with overseas teams.
              •    
              
             
            工作地點
            廣州天河區太古匯2座
             
             
            職位發布者
            孫云/人事經理
            立即溝通 
            公司Logo匯豐軟件開發(廣東)有限公司公司標簽
            匯豐軟件開發（廣東）有限公司隸屬于匯豐集團，成立于2006年，是匯豐全球科技中心之一。主要從事匯豐集團的計算機軟件（系統）開發、架構、設計、維護和技術咨詢等服務，以及項目、數據中心和風險控制等管理。依托先進的管理理念和創新的研發體制，我們不斷推出卓越的金融科技產品，為增強匯豐集團核心競爭力打好堅實基礎。在中國，匯豐軟件坐落于廣州和西安兩大城市，已擁有逾6000名專業的金融科技人才。
            公司主頁
            
    
  
  
  
  
  
    
    
    
    
    
    
    
    

    
    
    
    
    
    
    
    
    
    
  
  
  
  
  
  
  
  
天天综合色天天综合网