Computer Vision Expert

4 days ago

Singapore beBeeDataScience Full time $120,000 - $150,000
About the Job

As a Data Scientist, you will be working on exciting projects that combine computer vision, deep learning, and AI.

Key Responsibilities:

  • Conduct research on complex problems in computer vision, deep learning, and AI.
  • Build prototype applications in AI domains such as computer vision, self-supervised learning, multi-modality learning, etc.
  • Collaborate with scientists and researchers to develop software solutions.
  • Develop and deploy data science prototypes, focusing on bringing machine learning models into production.
  • Design and implement scalable and high-performance machine learning models, addressing performance and accuracy issues.
  • Present proof of concepts to stakeholders effectively.
  • Build data cleaning and augmentation pipelines for machine learning and deep learning model-based projects.
  • Automate processes and workflows using scripting and open-source tools.
  • Familiarity with code management and version control systems like GIT.
  • Stay updated with the latest advancements in data science, machine learning, and deployment techniques.

Requirements:

  • Degree/Masters/PhD in Engineering or Science with at least 3 years of relevant experience, including 1 year in Computer Vision Projects.
  • Experience in real-world data science projects, internships, hackathons, and personal projects.
  • Prior experience in Computer Vision related projects is mandatory.
  • Expertise in Python programming and libraries for data processing, visualization, and model development (pandas, numpy, scikit-learn, matplotlib, seaborn).
  • Proficient in API concepts and libraries, experienced in utilizing them for testing and deployment (Flask, Django, FastAPI).
  • Familiar with databases (PostgreSQL, Minio) and SQL for data storage and retrieval.
  • Understanding of HTML/CSS/Javascript and experience in front-end JavaScript frameworks (Angular or React) for designing web interfaces and deploying data science prototypes.
  • Engineering background experienced in Sensing, Controls, Automation, Optimization & Manufacturing Processes is a plus.
  • Data Engineering & Analytics.

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