Expoint - all jobs in one place

Finding the best job has never been easier

Limitless High-tech career opportunities - Expoint

Western Digital Staff Engineer Automation Development Engineering 
Philippines, Baguio 
853380335

19.11.2024
Company Description


But we can’t do it alone. Today’s exceptional data challenges require your exceptional skills. It’s You & Us. Together, we’re the next big thing in data.

Job Description
  • Lead the development of innovative data science solutions to a variety of business problems.
  • Design and implement data analysis, machine learning, and artificial intelligence algorithms, such as Computer Vision, GenAI, etc
  • Develop and maintain prototype systems for data analysis, visualization, and predictive analytics.
  • Collaborate with stakeholders across the organization to identify areas of opportunity for data science initiatives.
  • Monitor and evaluate results of data science projects to ensure successful outcomes.
  • Implement best practices for data engineering and data science processes.
  • Provide guidance and leadership to more junior engineer in the team.
  • Stay up-to-date on the latest trends in data science and share knowledge with the team.
Qualifications
  • Masters or Bachelor Degree in Computer science, data science, computer engineering, information technology, or similar field with working experience at least 4-5years above
  • Proficient in programming languages such as Python, with a strong understanding of relevant data science libraries and frameworks.
  • Excellent communication and leadership skills.
  • Proven ability to manage and mentor a diverse team.
  • Enthusiasm for exploring and implementing the latest advancements in data science.
  • Knowledge of the AI/ML lifecycle management and tools including EDA, Modelling, Integration/Deployment, Data/Model drift detection, Model retraining, etc
  • Practical experience in application of ML and Deep Learning algorithms.
  • Familiar with collaborative solutions, model & code versioning (Github), and solution packaging (Docker)