What will you do?

• Design and develop advanced AI/ML, computer vision and geospatial models for complex environmental challenges using diverse data i.e., Satellite, Lidar, and refine methodologies for accurate and efficient processing of 2D/3D data.
• Design, develop and modify the scalable AI/ML, computer vision pipelines, optimise computational processes, and design autonomous decision-making systems.
• Implement continuous model monitoring and feedback integration, drive innovation through research and patent creation, and foster collaborative partnerships to advance in machine learning.
• Lead and mentor a team of data scientists and analysts in designing and implementing advanced data models and algorithms.
• Communicate complex data findings in a clear and effective manner to stakeholders at all levels.

What are we looking for?

• Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
• At least 12 years of relevant experience in data science.
• Experience in designing/architecting and implementing scalable feature extractors on large image datasets.
• Experience in delivering scalable AI/ML, statistical solutions on large image datasets.
• Expertise in data analytics methodologies and tools i.e. Python, SQL and data visualisations.
• Experience in cloud-based platforms i.e., Azure, AWS, GCP and big data technologies i.e., Hadoop, Spark is highly desirable.
• Excellent problem-solving abilities and a strong sense of ownership.
• Excellent communication and teamwork skills.

What other experience will make you a great candidate:

• Experience in storing, processing large scale geospatial data on scale and corresponding tech stacks.
• Experience in designing/architecting and implementing scalable solutions on geospatial datasets i.e., Satellite / Lidar.