Advanced AI

3 days ago

Ellore, Andhra Pradesh, India beBeeArtificialIntelligence Full time ₹ 15,00,000 - ₹ 20,00,000
Senior Artificial Intelligence and Geographic Information Systems (GIS) Engineer

We are seeking a highly skilled Senior Artificial Intelligence and GIS Engineer to join our team. This role requires expertise in designing, developing, and deploying AI/ML solutions at an enterprise level.

About the Role:

The ideal candidate will have hands-on experience in implementing AI/ML solutions in large-scale production environments and strong programming skills in Python. Additionally, they should have a deep understanding of machine learning algorithms and their applications in real-world scenarios.

Key Responsibilities:
  • Design and develop AI-powered GIS platforms using Python and other relevant technologies.
  • Develop multimodal and geospatially aware models for real-time feature detection systems.
  • Contribute to the development of end-to-end lifecycle of enterprise-grade AI/ML solutions.
  • Collaborate with cross-functional teams to translate research into applied enterprise use cases.
Requirements:

To be successful in this role, you will need:

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

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