Solution Specialist (Analytics)
Solution Specialist (Analytics)
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Job Description
We deliver the best GIS solutions in the world with the brightest minds on the map.
What are the issues that matter most to you Climate change national security disaster response
At Esri Malaysia youll work with people at the forefront of these issues connect them with the best tech and solutions and get an inside look into the real-world challenges that shape our future.
We turn problems into opportunities and that takes two things:
- The most powerful GIS technology and solutions.
- Driven talented and passionately curious people.
Here we connect them and thats how we achieve incredible things for communities economies and for your career.
About the Role
Heres what a typical day will look like:
- Analyze and interpret large-scale geospatial datasets from satellite aerial or drone imagery and GIS databases.
- Apply statistical geostatistical and machine learning techniques to identify spatial patterns and trends.
- Build spatial prediction and classification models (e.g. land cover mapping suitability analysis risk modeling).
- Develop and automate geospatial workflows using Python R or other scripting languages
- Design and implement machine learning models tailored for spatial data (e.g. object detection in imagery change detection clustering).
- Implement deep learning frameworks (e.g. TensorFlow PyTorch) for geospatial tasks like semantic segmentation.
- Collaborate with developers and engineers to integrate models and tools into enterprise systems or web applications.
About You
To be successful you will need to bring along:
- Degree in Geographical Information System/Artificial Intelligence/Data Science or a related discipline.
- Working experience of at least 5 years with a minimum of 3 years working experience using or modeling using Machine Learning & Deep Learning.
- Strong knowledge in following areas:
o Raster image analysis
o Image change detection
o Image classification enhancement segmentation
o Python scripting
o Parallel computing for Machine Learning
- Familiar with Deep Learning and Artificial Intelligence (A.I.) workflows.
- Knowledge in Jupyter-notebook is an added advantage.
- Knowledge in RBDMS such as SQL Server Oracle or PostgreSql is an added advantage.
- Able to work well under pressure while maintaining quality.
- Possess good communication skills.
- Possess a good learning attitude and keen to take on technical challenges.
Discover how our values shape our impact your journey begins with one click here.
For further details or if you have any questions please contact our Talent Acquisition team by mail at (Fadhillah).
We are a 2025 Circle Back Initiative Employer we commit to respond to every applicant.
Required Experience:
Unclear Seniority
Employment Type
Full-Time
