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1 Deepmatrix Job
Senior Machine Learning Engineer
Deepmatrix
posted 3mon ago
Job Role Insights
Key skills for the job
Job Description
- End-to-End ML Solutions: Take full ownership of developing end-to-end machine learning solutions within the geospatial domain, focusing on image data, point cloud data, geophysical data, geological data, and related datasets, within the GIS context and ensuring alignment with customer needs and company objectives.
- Technical Collaboration: Collaborate closely with development teams, translating geospatial requirements into technical specifications for seamless integration with the product.
- GIS Integration: Work collaboratively with GIS experts to integrate machine learning solutions into GIS systems, gradually gaining proficiency in GIS tools and libraries.
- Data Preprocessing: Develop and refine preprocessing pipelines for geospatial data, ensuring data quality and normalization.
- Collaboration and Knowledge Transfer: Collaborate with GIS and remote sensing experts, leveraging their knowledge and gradually acquiring expertise in the GIS domain.
- Continuous Learning: Stay updated on the latest advancements in machine learning and GIS technology, actively participating in training programs and self-directed learning.
- Documentation and Reporting: Document progress, methodologies, and outcomes for knowledge transfer and future reference.
Qualifications:-
- Strong background in Computer Science, Programming, and Software Development
- Demonstrated experience with research in image processing: cameras, geometry, calibration, 2D and 3D image reconstruction, stereo, structure from motion, Radiometry, filtering, motion estimation, and applications.
- Evidence of high quality research through papers on image processing in leading journals and conferences
- Knowledge of machine learning and deep learning frameworks
- Strong analytical and problem-solving skills
- Excellent written and verbal communication skills
- Ability to work collaboratively in a team environment
- Ph.D. or Masters degree in Computer Science or related field
Employment Type: Full Time, Permanent
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