Senior Machine Learning Researcher | Deep Tech Expert

1 week ago


Bengaluru, Karnataka, India SatSure Full time

About the Role

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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.

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Job Description

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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

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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

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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

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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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