Senior Geospatial AI Technologist

10 hours ago

Bellary, Karnataka, India beBeeSoftwareEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Overview

We are seeking a skilled technologist to join our team in designing, developing, and deploying AI/ML solutions at an enterprise level.

 

About the Role:

The ideal candidate will bring hands-on experience in Computer Vision, Deep Learning, Generative AI, and GIS-based AI applications, along with strong programming, analytical, and solution-building skills.

 

Key Responsibilities:

  • Contribute to the development of AI-powered GIS platforms, multimodal and geospatially aware models, and real-time feature detection systems
  • Implement AI/ML solutions in enterprise or large-scale production environments
  • Design and develop high-quality software components using Python and relevant libraries (TensorFlow, PyTorch, Keras, scikit-learn, NumPy, Pandas, OpenCV)
  • Collaborate with cross-functional teams to translate research into applied enterprise use cases
  • Develop and maintain geospatial toolkits/libraries integration with ML workflows

 

Required Skills and Qualifications

To succeed in this role, you should possess the following qualifications:

  • 3–5 years of hands-on experience in implementing AI/ML solutions
  • Strong programming proficiency in Python with practical use of TensorFlow, PyTorch, Keras, scikit-learn, NumPy, Pandas, and OpenCV
  • Proven experience with Computer Vision architectures, including YOLO, SAM, U-Net, and other CNN-based models for real-time object detection, segmentation, and feature extraction
  • Expertise in image classification using advanced CV models (e.g., ResNet, VGG, YOLOv5/v8, EfficientNet)
  • Deep understanding and implementation experience of machine learning algorithms (supervised, unsupervised, and reinforcement learning) for classification, regression, and clustering
  • Experience in Generative AI and Large Language Models (LLMs), including transformers, diffusion models, multimodal pipelines, and speech-to-text/NLP solutions
  • Strong foundation in mathematics, statistics, data structures, algorithms, and optimization techniques
  • Hands-on experience with RNNs/LSTMs, hybrid neural architectures, and temporal/spatiotemporal modeling
  • Practical knowledge of Agentic AI systems (AI agents, multi-agent workflows, or autonomous agent design)
  • GIS domain expertise – demonstrated ability to integrate AI/ML with geospatial datasets, satellite imagery, and spatial analytics to deliver practical solutions
  • End-to-end experience in AI/ML solution lifecycle – from data preprocessing, model training, evaluation, deployment, and scaling

 

Preferred Qualifications

Candidates with the following qualifications will be given preference:

  • Working knowledge of MLOps/LLMOps workflows for scalable, automated AI/ML deployments
  • Experience with enterprise-grade data platforms ensuring high performance and interoperability with AI workloads
  • Practical exposure to geospatial feature extraction, change detection, and segmentation workflows
  • Certifications in AI/ML, GIS, or cloud platforms (AWS, Azure, GCP)
  • Familiarity with scientific computing libraries (SciPy, Theano, Julia ecosystem)
  • Experience contributing to AI/GIS research publications, open-source projects, or innovation programs
  • Knowledge of emerging paradigms such as federated learning, multi-agent systems, spatial AI, or Responsible AI practices

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