Machine Learning Engineer

6 days ago

Singapore Snaphunt Pte Ltd Full time

Company

Snaphunt Pte Ltd

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.

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).
- 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**

Application Instructions

Agent Note This position is posted on behalf of a client by a third party agent.

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