Data Scientist

2 weeks ago

Singapur, Singapore MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD Full time

Job Responsibilities

  • Conduct research on computer vision, deep learning and AI problems
  • Build prototype applications in various AI domains such as computer vision, self-supervised learning, multi-modality learning, etc.
  • Work closely with a team of scientists and researchers to concept and iterate on software development
  • Develop and deploy data science prototypes, with a focus on bringing machine learning models into production
  • Design and implement scalable and high-performance machine learning models, with a focus on troubleshooting performance and accuracy issues
  • Collaborate with technical and non-technical teams locally and overseas, and present proof of concepts to stakeholders effectively
  • Build data cleaning and augmentation pipelines for both machine learning and deep learning model-based projects
  • Automate processes and workflows for efficient delivery of data science products via scripting and open source tools
  • Stay updated with the latest advancements in data science, machine learning, and deployment techniques
Requirements
  • Degree or above in Computer Engineering, Computer Science or Engineering
  • At least 2 years of relevant experience from work with hands-on project experience in Computer Vision, Generative AI or LLM projects
  • Expertise in Python programming and using libraries for data processing, visualization, and model development, including pandas, numpy, scikit-learn, matplotlib, and seaborn
  • Proficient in API concepts and libraries, and experienced in utilizing them for testing and deployment, leveraging frameworks such as Flask, Django, or FastAPI
  • Familiar with databases (e.g., PostgreSQL, Minio) and SQL for data storage and retrieval
  • Understand HTML/CSS/Javascript and have experience in front-end JavaScript frameworks such as Angular or React to design web interfaces for data science prototypes
  • Customer oriented and able to establish link between R&D, innovations, and applications in business
  • Comfortable to work with local and overseas cross-functional teams
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