Job Description
The role involves developing deep learning models and tools for geospatial AI applications, integrating AI with GIS platforms, and working with satellite imagery and natural language processing to enhance geospatial analysis and insights.
Key Responsibilities
- Develop tools, APIs, and pretrained models for geospatial AI
- Integrate ArcGIS with deep learning libraries such as PyTorch
- Fine-tune large language models for geospatial AI tasks
- Develop APIs and model architectures for natural language processing and deep learning on unstructured text
- Author and maintain geospatial data science samples using ArcGIS and machine learning libraries
- Curate and pre-process data for deep learning models to transform into geospatial information
Requirements
- 2 to 6 years of experience with Python, in data science and deep learning
- Self-learner with coursework in and extensive knowledge of machine learning and deep learning
- Experience with Python machine learning and deep learning libraries such as PyTorch, Scikit-learn, NumPy, Pandas
- Expertise in one or more of these areas: transformer-based models, Large language models, and building applications using them
- Experience with NLP-based tasks such as recommender systems, summarization, and related applications
- Experience in data visualization in Jupyter Notebooks using matplotlib and other libraries
- Experience with hyperparameter tuning and training models to a high level of accuracy
- Bachelor’s degree in computer science, engineering, or related disciplines from IITs and other top-tier engineering colleges
- Existing work authorization for India
Benefits & Perks
Work environment perks (diverse and inclusive workplace)
Opportunities for learning, growth, and contribution to positive global change
Potential for remote work (implied by mention of on-site and flexible work arrangements)
Ready to Apply?
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