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SatSure - Machine Learning Researcher - Deep Learning
3 days ago
Role & Responsibilities :
- To Implement deep-learning models and/or frameworks that can be used in scene/semantic/panoptic segmentation, object classification, and synthetic data generation using High-Resolution Earth Observation Data.
- To Design and implement performance evaluation frameworks for incremental and step-function improvements.
- To Explore and develop new methods for improving detection/classification performance.
- To Build models monitoring and active learning pipelines to address the target and data shifts happening in the domain.
- To Build models to solve open research problems on complex image preprocessing, computer vision, object identification, segmentation, change monitoring, multi-source data fusion, etc from High-Resolution Earth Observation data sources.
- To Define and implement performance metrics for the research problems and be very methodical / organized with experiment management and performance evaluations.
Qualifications :
- Master's degree or PhD in Engineering, Statistics, Mathematics or Computer Science, Machine Learning / Deep Learning domains.
- 4-5 years of industrial experience in machine learning-based data product research and development in addition to a relevant educational background in the field of Computer Science, Mathematics, Engineering, or Machine Learning.
Must-Have :
- Experience with tools/frameworks from theoretical and practical aspects of computer science and ML/DL.
- This includes calculus, probability, statistics, learning theory, etc.
- Prior experience and core foundational knowledge on working with statistical modeling techniques and deep learning fundamentals, such as CNN, RNN, Transformers, GANs, etc include sequence networks eg LSTMs
- Proficiency in Python or C++, with hands-on experience in using ML frameworks such as Tensorflow/Pytorch, Pytorch Lightning, MxNet, etc .
Good to Have :
- Ability to design, develop, and optimize for machine learning/ deep learning models.
- Knowledge of the application of ML for earth observation data is good to have.
- Appetite for research and implementing innovative solutions for complex problem.
Benefits :
- Medical Health Cover for you and your family including unlimited online doctor consultations.
- Access to mental health experts for you and your family.
- Dedicated allowances for learning and skill development.
- Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves.
- Twice a year appraisal
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