AI and GIS Expert

1 day ago

Aligarh, Uttar Pradesh, India beBeeArtificialIntelligence Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title: AI and GIS Expert

We are seeking an experienced AI and GIS professional to contribute to the development of cutting-edge AI-powered GIS platforms. As a key member of our team, you will play a pivotal role in designing, developing, and deploying innovative solutions that integrate AI and GIS technologies.

**Key Responsibilities:**

  • Design and implement AI algorithms for GIS applications.
  • Develop and deploy AI-powered GIS platforms.
  • Collaborate with cross-functional teams to integrate AI and GIS solutions.

**Required Skills and Qualifications:**

Technical Skills:

  • Strong programming proficiency in Python with practical use of TensorFlow, PyTorch, Keras, scikit-learn, NumPy, Pandas, and OpenCV.
  • 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.

Business Acumen:

  • 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.

**Benefits:**

  • End-to-end experience in AI/ML solution lifecycle – from data preprocessing, model training, evaluation, deployment, and scaling.
  • Hands-on exposure to geospatial toolkits/libraries (e.g., GDAL, GeoPandas, QGIS, ArcGIS APIs) and their integration with ML workflows.
  • Opportunity to collaborate with cross-functional teams and translate research into applied enterprise use cases.

**Preferred Qualifications:**

  • Working knowledge of MLOps/LLMOps workflows for scalable, automated AI/ML deployments (CI/CD, containerization, orchestration).
  • Experience with enterprise-grade data platforms (cloud-native, distributed systems) ensuring high performance and interoperability with AI workloads.
  • Practical exposure to geospatial feature extraction, change detection, and segmentation workflows.

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