Job description

Job Description

The role will be in one of the different teams in GDI&A(Manufacturing Analytics).

  • Potential candidates should possess a strong analytical mindset and be very comfortable with processing and manipulating large data sets in various formats.
  • Familiarity with analytics methods (descriptive/predictive/prescriptive) and tools (Python, Tableau, QlikSense) would be a definite plus.
  • Exposure to Cloud technologies (e.g., Google Cloud), including executing Machine Learning algorithms on Cloud would be definite plus.
  • Candidates should display interest and initiative in translating a business problem into an analytical problem and determining the appropriate analytical methods to be used.


  • Develop machine learning models and implement ML feature delivery as managed services or on device model.
  • Collaborate with data engineers to develop data and model pipelines
  • Apply machine learning and data science techniques and design distributed systems
  • Write production-level code and bring code to production
  • Engage in code reviews
  • Develop and test the machine learning model
  • Design and evaluate approaches for handling large volume of real data streams.
  • Improve existing machine learning models
  • Develop prototype for future exploration.
  • Be in charge of the entire lifecycle (research, design, experimentation, development. deployment, monitoring, and maintenance)
  • Produce project outcomes and isolate issues
  • Implement machine learning algorithms and libraries
  • Communicate complex processes to business leaders
  • Analyze large and complex data sets to derive valuable insights
  • Research and implement best practices to enhance existing machine learning infrastructure


  • MS/ Phd in computer science or relevant work experience 4+
  • Strong in any python , java script, Java & C++
  • Experience in Sklearn, Tensor flow or Pytorch
  • Experience with machine or deep learning methods.
  • Exposure to NLP or CV preferrable.
  • Experience in Big data processing and Hadoop
  • Experience in engineering SaaS based software development

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