Data Science and Machine Learning Expert

Job Description

We are seeking a highly skilled Geospatial Data Science Engineer to join our team. The successful candidate will be responsible for developing and delivering models for India specific GeoAI use cases, working closely with customers to understand their needs and conceptualizing solutions using ESRI products.

The ideal candidate will have 5+ years of experience in practical machine learning, proven data science and AI skills with Python, PyTorch and Jupyter Notebooks, deep learning expertise, and the ability to work independently, exhibiting strong problem-solving skills and effectively communicating complex geospatial concepts to diverse audiences.

Key Responsibilities:

• Consulting closely with customers to understand their needs
• Developing and pitching data science solutions by mapping business problems to machine learning or advanced analytics approaches
• Building high-quality analytics systems that solve our customers' business problems using techniques from data mining, statistics and machine learning
• Writing clean, collaborative and version-controlled code to process big data and streaming data from a variety of sources and types
• Performing feature engineering, model selection and hyperparameter optimization to yield high predictive accuracy and deploy the model to production in a cloud, on-premises or hybrid environment
• Implementing best practices and patterns for geospatial machine learning and developing reusable technical components for demonstrations and rapid prototyping
• Integrating ArcGIS with popular deep learning libraries such as PyTorch
• Keeping up to date with the latest technology trends in machine and deep learning and incorporating them in project delivery
• Supporting in estimation and feasibility for various RFPs

Desired Skills and Qualifications:

• 5+ years of practical machine learning experience or applicable academic/lab work
• Proven data science and AI skills with Python, PyTorch and Jupyter Notebooks
• Experience in building and optimizing supervised and unsupervised machine learning models including deep learning and various other modern data science techniques
• Expertise in one or more of the following areas:
• Traditional and deep learning-based computer vision techniques with the ability to develop deep learning models for computer vision tasks (image classification, object detection, semantic and instance segmentation, GANs, super-resolution, image inpainting, and more)
• Convolutional neural networks such as VGG, ResNet, Faster R-CNN, Mask R-CNN, and others
• Transformer models applied to computer vision
• Expertise in 3D deep learning with Point Clouds, meshes, or Voxels with the ability to develop 3D geospatial deep learning models, such as PointCNN, MeshCNN, and more
• A fundamental understanding of mathematical and machine learning concepts such as calculus, back propagation, ReLU, Bayes' theorem, Random Forests, time series analysis, etc
• Experience with applied statistics concepts
• Ability to perform data extraction, transformation, loading from multiple sources and sinks
• 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
• Experience in LLMs is preferred
• Self-motivated, life-long learner

Non-negotiable Skills:

• Master's degree in RS, GIS, Geoinformatics, or a related field with knowledge of RS & GIS
• Knowledge and experience of ESRI products like ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise, etc
• Experience with Image analysis and Image processing techniques in SAR, Multispectral and Hyperspectral imagery
• Strong communication skills, including to non-technical audiences
• Should have strong Python coding skills
• Should be open to travel and ready to work at client side (India)