Data Analyst and Machine Learning Engineer

2 days ago

Singapore beBeeDataScientist Full time

Job Description:

We are seeking a skilled Data Scientist to join our team. As a Data Scientist, you will employ mathematical and statistical techniques to uncover patterns in data and develop predictive models.

You will interact with experienced professionals to identify questions and issues for data analysis projects and improve existing tools. In this role, you will help develop software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple sources.

In this position, you will have the following responsibilities:

  • Developing and deploying computer vision models for object detection, image segmentation, and anomaly detection.
  • Staying up-to-date with the latest research and advancements in machine learning and computer vision and applying them to real-world problems.
  • Extracting data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
  • Coordinating production deployment activities, including cross-functional communications, approval, and execution of changes in live environments.
  • Strong verbal and written communication skills.

Required Skills and Qualifications:

  • Bachelor or Master degree in Computer Science, Computer Engineering, Business Analytics, Data Science, or AI.
  • Or equivalently, minimum 2 years of practical experience in development of scalable and stable AI applications.

Benefits:

This role offers a strong opportunity to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.

Others:

Required Technical Experience:

  • Strong programming skills in Python
  • Strong experience in AI and machine learning technologies, particularly in applications related to computer vision.
  • Hands-on experience with computer vision libraries and models (YOLO, OpenCV, etc.).
  • Experience with deep learning frameworks such as PyTorch, TensorFlow, or similar.
  • Familiarity with front-end and visualization tools like JavaScript, AngularJS 2.0, Python Dash, or Streamlit.

Required Soft-skill Experience:

  • Strong analytical and problem-solving skills with a data-driven mindset.
  • Effective communication skills for cross-functional collaboration with engineering, operations, and quality teams.
  • Ability to work independently and manage multiple priorities in a fast-paced environment.
  • Detail-oriented with a commitment to quality and continuous improvement.
  • Adaptability and resilience in a dynamic manufacturing setting.

Preferred Experience or Williness to Learn:

  • Exposure to computer vision or Large Language Models (LLMs)-related projects.
  • Experience integrating computer vision solutions into software systems or products.
  • Exposure to cloud platforms such as Google Cloud Platform (GCP).
  • Distributed computing frameworks: PySpark.
  • Big data technologies: Hadoop, Hive, Spark, HBase.
  • Working knowledge of Teradata or other SQL-based databases.
  • Contributions to top-tier conferences such as CVPR, NeurIPS, ICML, or KDD.

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