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Job Location: Bengaluru
Job Detail:
Job Description
About SatSure
SatSure Analytics India Pvt Ltd. SatSure is a deep tech, decision Intelligence company which
works primarily at the nexus of geospatial data, data science and engineering creating products
for finance, agriculture, climate change and infrastructure sector impacting millions of lives. We
want to make insights from earth observation data accessible to all.
Data Science/Machine Learning team is aimed at developing innovative and state-of-the-art
ML/DL solutions. It forms the core of SatSure’s Intellectual Property creation along with . The
team works in a highly collaborative and cross functional manner with Geospatial Experts, ML
Engineers and Data Analysts. The solutions that we design span from agrifinance to
construction monitoring and impact fields ranging from power transmission to sustainability.
Roles and Responsibilities:
- Design and implement framework for training and testing dataset ;and scenario creation
for ML/DL models using EO data.
- Identify and design statistical methods for data analysis, and conduct the actual
analysis once datasets and outputs are ready.
- Design and implement quality assurance frameworks for product quality monitoring and
improvement.
- Keep updated on new developments and research in the field of statistical learning and
quality assurance.
- Keep documentation of relevant protocols, test plans
Requirements
Experience:
- 1 – 2 years of professional experience.
- 5+ year programming in Python/C++, knowledge of ML frameworks (such as,
Tensor flow, Pytorch) (includes coding experience during academics).
- Beginner proficiency in statistical/ML predictive techniques
- Understanding of DS/ML modeling, Analytical mind, able to dissect data in all
perspectives.
- Strong math skills (e. g. statistics, algebra)
- Image processing and Computer vision algorithms.
Competencies:
- A proven ability to learn new tools and technologies quickly.
- Ability to develop novel solutions rather than look for readily available options.
- An ability to translate complex topics and tools into easy to understand concepts in
order to explain the impact of developed models to the stakeholders and peers.
Good to Have:
- Experience working with Amazon Sagemaker
- Knowledge of remote sensing and high resolution satellite imagery
- Experience handling geospatial datasets.
Educational Qualifications:
- Bachelor’s degree in Mathematics/Statistics/Computer Science or equivalent
Benefits
Why Us?
- Opportunity to work on a unique and futuristic technology setup
- Flat organizational structure and accessibility
- Best in class leave policy
- Additional allowances for learning, skill development, broadband, medical insurance
cover, etc.
Department Name
Data Science
Industry
Science & Technology
City
Bangalore
State/Province
Karnataka
Country
India
Zip/Postal Code
560025
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