Company
				Snaphunt Pte Ltd
			snaphunt.com
Designation
				Machine Learning Engineer
			Date Listed
				17 Feb 2025
			Job Type
				Entry Level / Junior Executive
			Full/Perm
Job Period
				Immediate Start, Permanent
			Profession
				
            
            IT / Information Technology
			Industry
				
            
            Computer and IT
			Location Name
				Singapore
			Allowance / Remuneration
				$5,000 - 6,000 monthly				
			Company Profile
				Our client is a leading IT development company specializing in AI-powered solutions and data-driven technologies. Our client is dedicated to transforming businesses through innovative technology, providing tailored solutions that meet our clients’ unique needs.
Job Description
				- Join a well known brand within IT Services
 - Opportunity to make a positive impact
 - Leadership Role
 
The Job
Key Responsibilities:
- Assist in the design, development, and deployment of GIS-based machine learning models.
 - Perform geospatial data collection, cleaning, and preprocessing for analysis.
 - Develop custom algorithms to analyze large spatial datasets using machine learning techniques.
 - Collaborate with senior engineers and data scientists to improve and optimize model performance.
 - Integrate machine learning outputs into GIS platforms for mapping, visualization, and analysis.
 - Develop and maintain geospatial databases and support data integration efforts.
 - Contribute to the creation of tools or scripts to automate geospatial tasks using Python, R, or other relevant languages.
 - Prepare technical documentation and reports summarizing project findings and recommendations.
 - Stay up to date with advancements in GIS, machine learning, and data science technologies.
 
Ideal Candidate
Job Requirements:
- Bachelor’s degree in Geography, Computer Science, Data Science, or a related field. (Master’s degree is a plus)
 - 3-5 years of experience with GIS software (e.g., QGIS, ArcGIS).
 - Basic experience in machine learning, preferably using Python and popular libraries such as Scikit-learn, TensorFlow, or PyTorch.
 - Experience working with geospatial data formats (e.g., shapefiles, GeoJSON, raster, vector).
 - Proficient in programming languages such as Python and JavaScript (experience with geospatial libraries like GDAL, Fiona, or Rasterio is a plus).
 - Understanding of machine learning concepts such as supervised learning, unsupervised learning, and model evaluation.
 - Familiarity with geospatial database management systems (PostGIS, SQL).
 - Experience with cloud platforms like AWS, GCP, or Azure, especially for geospatial applications, is an advantage.
 - Good understanding of spatial analysis, spatial statistics, and data visualization techniques.
 - Strong analytical and problem-solving skills.
 - Excellent communication skills and the ability to work in a team-oriented environment.
 - Basic knowledge of front-end web mapping frameworks (e.g., Leaflet, OpenLayers) is an added advantage.
 
Ref: GT6Y711JPJ
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- Company:
Snaphunt Pte Ltd - Designation:
Machine Learning Engineer - Profession:
IT / Information Technology - Industry:
Computer and IT 
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