Data Scientist / Sr. Data Scientist

  • Bengaluru, Karnataka, India
  • Nov 15, 2020
Full time role

Job Description

  1. You will train and deliver deep learning models and tools to extract various features and value added services using multi-dimensional satellite imagery.
  2. You will be responsible for developing and validation of workflows, tools, models, and scripts for maintenance of the life cycles of these models.
  3. In the product development life-cycle, you will be required to work with all relevant business and technology stakeholders for development and deployment of AI models for the product.
  4. You will also be responsible for building prototypes in order to validate the company's business use cases.

Skills/Requirements (essential)

  1. Bachelor’s/Master's degree in Computer Science/Engineering or GIS/Geoinformatics or a relevant PhD with 4 - 7 years of industry experience in python (or any other object oriented programming language).
  2. Hands-on experience in working with Python, GIS tools, with a taste for writing maintainable, well-documented and high-quality code.
  3. Hands-on experience working with Keras/Tensorflow, Scikit and GDAL tools and python libraries like pandas, shapely, rasterio, numpy, OpenCV.
  4. Sound understanding of deep learning, image processing and remote sensing concepts.
  5. Hands-on experience deploying and maintaining ML models in production.
  6. Experience in handling satellite imagery and other geospatial datasets.

Skills/Requirements (optional)

  1. Experience in managing and building data science pipelines.
  2. Sound knowledge of best software engineering practices for all stages of software development life-cycle, including coding standards, code reviews, testing, deployment.
  3. Hands-on experience working with large datasets.
  4. Experience publishing papers on deep learning in reputed journals/conferences.
  5. Experience in deploying and maintaining live models using AWS Sagemaker or Azure ML Studio.

Contract Type

Full-time Permanent Contract, after successful completion of the probationary period (3 months).

Joining Date



  1. Flexible working hours and work from home arrangements.
  2. A commitment to continuous on-the-job learning and training, internally and externally.
  3. Ability to attend and present work at relevant national and international events, meet-ups and conferences on behalf of Pixxel.
  4. Experience the start-up environment, with an opportunity to learn all aspects of building and growing a business alongside a diverse world-class team.

Organization Type


Organization Size



Materials & Manufacturing, Research & Education