Machine Learning Researcher

1 week ago


Bengaluru, Karnataka, India KaleidEO Full time

About KaleidEO
KaleidEO, a subsidiary of SatSure, is investing in launching its own fleet of earth observation satellites. We are looking for an Image Processing expert to manage and enhance the logical pipeline that provides top-quality geospatial images and products. SatSure is a tech-driven company that focuses on agriculture, infrastructure, and climate action in developing nations. Our goal is to make earth observation data insights accessible to everyone. The collaboration between KaleidEO and SatSure aims to revolutionize the earth observation industry in India by having satellites in space to offer ground insights.

If you're interested in joining a space tech analytics domain that uses cutting-edge technology to solve complex data problems using Multi-Sensor Earth Observation data, and encourages innovation and creativity without hierarchies, KaleidEO is the place for you.

Role:

  • Implementing deep-learning models for scene/semantic/panoptic segmentation, object classification, and synthetic data generation with High-Resolution Earth Observation Data.
  • Designing and implementing performance evaluation frameworks for continuous improvements.
  • Exploring new methods to enhance detection and classification performance.
  • Developing models to address open research problems related to image preprocessing, computer vision, object identification, segmentation, change monitoring, and data fusion from High-Resolution Earth Observation sources.

Requirements:

  • 4-5 years of experience in machine learning-based data product research and development.
  • Background in Computer Science, Mathematics, Engineering, or Machine Learning.
  • Proficiency in tools/frameworks like Tensorflow, Pytorch, etc.
  • Knowledge of statistical modeling techniques and deep learning fundamentals.
  • Ability to develop and optimize machine learning models.

Competencies:

  • Quick learner of new tools and technologies.
  • Ability to create innovative solutions.
  • Excellent communication skills to explain complex topics to stakeholders in simple terms.
  • Strong analytical, critical thinking, and problem-solving skills.
  • Can thrive in a fast-paced, team-oriented environment.

Educational Qualifications:
Master's degree or PhD in Engineering, Statistics, Mathematics, Computer Science, or related fields.

Benefits:

  • Medical Health Cover for you and your family with unlimited online doctor consultations.
  • Access to mental health experts for you and your family.
  • Allowances for learning and skill development.
  • Comprehensive leave policy with various types of leaves.
  • Biannual appraisals.


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