Senior Data Scientist: Data Analytics & Machine Intelligence

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Description

Our client is the first fully-integrated major Digital Hub in the world. Championed by a Mindsphere Application Center for Urban Infrastructure, the Singapore Hub will demonstrate our IoT leadership with digitalization show-cases and bring its expertise and innovations to the markets in the APAC region.

We are forming a passionate group of solution innovators, UX devotees, techies, data scientists/AI experts, software lovers, AR/VR experts, visual artists, and architects, working in a lean startup concept. We strive to solve complex problems in various domains ranging from industry, energy, mobility and buildings to smart cities by applying methods and principles of data analytics, artificial intelligence, simulations, and interactive visualization. 

We are looking for equally passionate techies to join us in this exciting journey of finding solutions to some non-trivial challenges of the always connected peta-byte world.

What are my responsibilities?

• Dive deep into an ocean of data and solve challenges associated with transforming and enriching large complex datasets to deliver non-trivial insights by applying advanced data analytics methods & algorithms 

• Develop scalable ML and DL pipelines based on business initiatives on digitalization – from edge to cloud

• Understand research publications for state-of-the art but move beyond theoretical models and build innovative, practical and robust real world solutions for problems such as predictive maintenance of industrial assets and trains, intelligent logistics & traffic management, deep learning based sensor fusion for autonomous vehicles, autonomous building control with energy efficiency, smart grids and energy optimization

• Represent the organization in reputed events & universities and be a brand ambassador for the regional digital hub 

What does it take me to qualify for this job?

•  PhD/Masters/Bachelor’s degree in Computer Science or related discipline from a reputed institute with grass-root experience of at least 4 years in solving complex problems and driving actionable insights from Petabytes of data.

• Closely follow latest developments in artificial intelligence and be an early adopter of disruptive trends/technologies

• Proven deep technical expertise in designing and programming large scale data driven solutions using any of the high level programming languages viz. Java/Python/C++/Scala

• Collaborate with team members from prototyping through production, present developed solutions and recommendations to business partners, and influence future product roadmap and strategy based on insights

• Hands-on experience with one or more of the following is a must:
  • Building analytical solutions leveraging distributed computing frameworks and cloud based data engineering solutions, especially Hadoop and Spark to build and deploy products at scale
  • Experience in Machine Learning techniques such as Forecasting, Classification, Clustering, Text Mining, Decision Trees, Random Forest and Search algorithms
  • Understanding and hands-on experience in training deep convolutional and/or recurrent networks using frameworks like Tensorflow, Caffe, MXNet, etc.
  • Research, develop and prototype software technologies related to object detection, tracking, 3D reconstruction, SLAM and photometric stereo

Experience in the following will be an added advantage:

• • Minimum of 1-2 years’ experience working on image processing and computer vision problems with a clear understanding and ability to implement algorithms (especially deep learning algorithms)
  • Hands-on experience using OpenCV and OpenGL
  • Optimization techniques for model training and deployment on GPUs
• 
  

  Keen to apply for this role?

  Please email a copy of your resume, photo, reasons for leaving, details of your current/ last drawn and expected salary to : socrates3142@gmail.com

  Regret to notify that only shortlisted candidates will proceed for the interview and will be contacted by our recruiters for the arrangement for the interview. 

  Thank you.