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5.0 - 10.0 years
10 - 20 Lacs
hyderabad
Hybrid
Conduct advanced spatial analysis using ArcGIS Pro's Spatial Analyst/Geostatistical tools,apply machine learning to spatial datasets,analyze remote sensing/LiDAR data & create detailed analytical reports. Perform complex spatial analysis for business Required Candidate profile ArcGIS Pro, Spatial Statistics, Remote Sensing/LiDAR, Python R & predictive modeling techniques. Expertise in advanced spatial analysis & leveraging specialized ArcGIS Pro toolsets for complex problem
Posted 2 weeks ago
0.0 - 5.0 years
2 - 7 Lacs
Bengaluru
Hybrid
Design, develop, and implement Graph RAG models to enhance data relationships and knowledge retrieval. Build, train, and fine-tune LLMs to work with Microsoft Co-pilot and Open Azure AI. Utilize the Azure Samples Graph RAG Accelerator to accelerate Required Candidate profile exp in developing and deploying AI models, specifically Graph RAG and LLMs. exp with Microsoft Azure, including Azure AI and related services. Azure Samples Graph RAG Accelerator is highly
Posted 6 months ago
4 - 8 years
8 - 18 Lacs
Noida
Work from Office
3-5 years of experience in data science, research and development. Strong proficiency in Python, R , or other programming languages for data analysis and model development. Extensive experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, etc. Experience working with large-scale data processing tools such as Spark, Hadoop , or distributed computing frameworks. Hands-on experience in designing, developing, and training neural network models from scratch , with successful deployment in production environments. Experience in model quantization and optimization for deployment across different CPU/NPU architectures. Knowledge of accelerators across various chipset v...
Posted 7 months ago
2.0 - 7.0 years
8 - 18 Lacs
hyderabad
Work from Office
Key Responsibilities: Design AI-driven solutions for core veterinary workflows, such as patient triaging, diagnostics support, treatment plan suggestions, appointment scheduling, and client communications. Develop AI assistants and multi-agent systems to automate routine tasks like SOAP note summarization, clinical documentation (Medical Records), prescription and other reminders, and client follow-ups. Implement RAG pipelines leveraging veterinary knowledge bases, clinical case data, Case Summaries and standard care protocols. Integrate LLMs into practice management modules for intelligent querying, FAQ automation, and veterinary clinical knowledge support. develop and deploy AI services us...
Posted Date not available
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