Senior Machine Learning Researcher | Deep Tech Expert
1 week ago
About the Role
">SatSure, a leading deep tech company, is seeking an experienced Senior Machine Learning Researcher to join our team. As a key member of our research and development department, you will be responsible for developing and implementing cutting-edge machine learning models for earth observation data applications.
">Job Description
">We are looking for a highly skilled professional with expertise in deep learning and statistical modeling to drive innovation in our product development. Your primary responsibilities will include:
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- Designing and implementing deep-learning models and frameworks for scene/semantic/panoptic segmentation, object classification, synthetic data generation using earth observation data in agriculture and infrastructure domains;">
- Developing performance evaluation frameworks for incremental and step-function improvements;">
- Exploring and developing new methods for improving detection/classification performance;">
- Building model monitoring and active learning pipelines to address target and data shifts happening in the domain;">
- Defining and implementing performance metrics for research problems and being methodical/organized with experiment management and performance evaluations.">
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Requirements
">To succeed in this role, you should have:
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- A Master's degree or PhD in Engineering, Statistics, Mathematics, or Computer Science with a strong background in Machine Learning/Deep Learning domains;">
- 5-8 years of experience in machine learning-based data product research and development in addition to relevant educational background in the field of Computer Science, Engineering, Machine Learning, etc.;">
- Experience with tools/frameworks from theoretical and practical aspects of computer science and ML/DL, including probability, statistics, learning theory, etc.;">
- Prior experience working with statistical modeling techniques and deep learning fundamentals, such as CNN, RNN, Transformers, GANs, etc., including sequence networks like LSTMs;">
- Proficiency in any programming language, preferably Python, with hands-on experience in using ML frameworks such as TensorFlow/PyTorch, PyTorch Lightning, MxNet, etc.;">
- Ability to design, develop, optimize machine learning/deep learning models;">
- Knowledge of application of ML for earth observation data, which is good to have;">
- An appetite for research and implementing innovative solutions for complex problems.">
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What We Offer
">We offer a competitive salary range of $120,000-$180,000 per annum, depending on your level of experience. In addition to a stimulating work environment, you will enjoy:
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- 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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Interview Process
">The interview process will consist of an intro call, assessment, presentation, interview rounds (ideally up to 3-4 rounds), and culture round/HR round.
">-
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