AI/ML Geospatial Solutions Engineer

7 days ago

Anantapur, Andhra Pradesh, India beBeeArtificialintelligence Full time ₹ 1,00,00,000 - ₹ 2,00,00,000
AI/ML Engineer - Geospatial Solutions

We are seeking an experienced AI/ML Engineer to design, develop and deploy geospatial solutions that integrate artificial intelligence with geographic information systems.

Key Responsibilities:

  • Design and develop AI-powered geospatial platforms for enterprise clients
  • Implement machine learning algorithms for computer vision, deep learning, and GIS-based applications
  • Collaborate with cross-functional teams to translate research into applied enterprise use cases
  • Contribute to the development of end-to-end AI/ML solution lifecycles
  • Maintain and improve existing geospatial feature extraction, change detection, and segmentation workflows

Required Skills:

  • 3-5 years of hands-on experience in implementing AI/ML solutions in enterprise or large-scale production environments
  • 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
  • Hands-on exposure to geospatial toolkits/libraries (e.g., GDAL, GeoPandas, QGIS, ArcGIS APIs) and their integration with ML workflows

Desirable Skills:

  • 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
  • Strong ability to communicate AI/GIS solutions, collaborate with cross-functional teams, and translate research into applied enterprise use cases
  • 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

About Us:

We are a company dedicated to innovating and pushing the boundaries of what is possible with AI/ML technology. Join our team of experts who are passionate about creating cutting-edge solutions for real-world problems.

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