Geospatial Data Science Expert

3 days ago

Bengaluru, Karnataka, India beBeeDataScience Full time ₹ 8,00,000 - ₹ 12,00,000

About the Role

We are seeking a highly skilled Geospatial Data Science Expert to join our team. As a key member of our Applied Data Science Team, you will be responsible for advancing the next-generation Machine Learning (ML) applications and surpassing the State-Of-The-Art (SOTA), especially in more ambiguous, complex geographies.

The ideal candidate will have a strong background in computer vision, NLP, learning theory, optimization, ML+Systems, foundational models, and experience working with large-scale datasets. You will be expected to develop and deploy efficient models that are season, modality, and ground agnostic.

Responsibilities

  • Develop and deploy large-scale ML models using PyTorch and other frameworks
  • Work on projects from proof-of-concept to deployment and monitoring
  • Collaborate with product owners, applied data scientists, MLOps, geospatial experts, platform engineers to envision solutions to real-world, ambiguous business use-cases
  • Own time-bound, End-to-End (E2E) solutioning of large-scale ML applications, ranging from resource, requirements gathering, data collection, cleaning and annotation, model development, validation, deployment, monitoring, etc.

Requirements

  • Tech, MS (Research), PhD in a technical field (e.g., CS, EE, EC, Remote Sensing, etc)
  • Experience working in industry (0-4 years of experience)
  • Proven track record of relevant experience in computer vision, NLP, learning theory, optimization, ML+Systems, foundational models, etc.

What We Offer

  • Dedicated allowances for learning and skill development
  • Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves
  • Intro call

Working at Our Company

We value technical innovation and scale. Our company is a deep tech, decision intelligence company that leverages Earth-Observation (EO) data to solve crucial problems at the nexus of agriculture, finance, infrastructure, utilities, aviation, energy, and climate, to name a few.

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