124 Geospatial Data jobs in India
Geospatial Data Science Engineer
Posted 8 days ago
Job Viewed
Job Description
Organization and Background
Established in 1996, Esri India Technologies Pvt. Ltd. (Esri India), the market leader in geographic information system (GIS) software, location intelligence, and mapping solutions in India, helps customers unlock the maximum potential of their data to improve operational and business decisions. It has delivered pioneering enterprise GIS technology, powered by ArcGIS, to more than 6,500 organizations in government, private sector, academia, and non-profit sectors. The company has also introduced ‘Indo ArcGIS’, a unique GIS solution & data offering suited for government organizations. Esri India collaborates with a rich ecosystem of partner organizations to deliver GIS and location intelligence-based solutions. Headquartered in Noida (Delhi NCR), the company has 1 million users in the country and has got Great Place to Work Certified® in 2021, 2022, and 2023.
Website:
Role overview
5+ Years of experience is required in practical machine learning, Proven data science and AI skills with Python, PyTorch and Jupyter Notebooks, Deep Learning.
This position will work closely with customer to understand their needs to develop and deliver models for India specific GeoAI use cases. He/she will be responsible for conceptualizing and developing solutions using ESRI products. Additionally, the role demands representing the organization at conferences and forums, showcasing expertise and promoting ESRI solutions. Should be capable of working independently, exhibiting strong problem-solving skills, and effectively communicating complex geospatial concepts to diverse audiences.
Roles & Responsibilities
- Consult closely with customers to understand their needs
- Develop and pitch data science solutions by mapping business problems to machine learning or advanced analytics approaches
- Build high-quality analytics systems that solve our customers’ business problems using techniques from data mining, statistics and machine learning
- Write clean, collaborative and version-controlled code to process big data and streaming data from a variety of sources and types
- Perform 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.
- Implement best practices and patterns for geospatial machine learning and develop reusable technical components for demonstrations and rapid prototyping
- Integrate ArcGIS with popular deep learning libraries such as PyTorch
- Keep up to date with the latest technology trends in machine and deep learning and incorporate them in project delivery
- Support in estimation and feasibility for various RFPs
Desired skillset
- 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)
Geospatial Data Science Engineer
Posted today
Job Viewed
Job Description
Organization and Background
Established in 1996, Esri India Technologies Pvt. Ltd. (Esri India), the market leader in geographic information system (GIS) software, location intelligence, and mapping solutions in India, helps customers unlock the maximum potential of their data to improve operational and business decisions. It has delivered pioneering enterprise GIS technology, powered by ArcGIS, to more than 6,500 organizations in government, private sector, academia, and non-profit sectors. The company has also introduced ‘Indo ArcGIS’, a unique GIS solution & data offering suited for government organizations. Esri India collaborates with a rich ecosystem of partner organizations to deliver GIS and location intelligence-based solutions. Headquartered in Noida (Delhi NCR), the company has 1 million users in the country and has got Great Place to Work Certified in 2021, 2022, and 2023.
Website:
Role overview
5+ Years of experience is required in practical machine learning, Proven data science and AI skills with Python, PyTorch and Jupyter Notebooks, Deep Learning.
This position will work closely with customer to understand their needs to develop and deliver models for India specific GeoAI use cases. He/she will be responsible for conceptualizing and developing solutions using ESRI products. Additionally, the role demands representing the organization at conferences and forums, showcasing expertise and promoting ESRI solutions. Should be capable of working independently, exhibiting strong problem-solving skills, and effectively communicating complex geospatial concepts to diverse audiences.
Roles & Responsibilities
- Consult closely with customers to understand their needs
- Develop and pitch data science solutions by mapping business problems to machine learning or advanced analytics approaches
- Build high-quality analytics systems that solve our customers’ business problems using techniques from data mining, statistics and machine learning
- Write clean, collaborative and version-controlled code to process big data and streaming data from a variety of sources and types
- Perform 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.
- Implement best practices and patterns for geospatial machine learning and develop reusable technical components for demonstrations and rapid prototyping
- Integrate ArcGIS with popular deep learning libraries such as PyTorch
- Keep up to date with the latest technology trends in machine and deep learning and incorporate them in project delivery
- Support in estimation and feasibility for various RFPs
Desired skillset
- 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)
Geospatial Data Science Engineer
Posted 8 days ago
Job Viewed
Job Description
Organization and Background
Established in 1996, Esri India Technologies Pvt. Ltd. (Esri India), the market leader in geographic information system (GIS) software, location intelligence, and mapping solutions in India, helps customers unlock the maximum potential of their data to improve operational and business decisions. It has delivered pioneering enterprise GIS technology, powered by ArcGIS, to more than 6,500 organizations in government, private sector, academia, and non-profit sectors. The company has also introduced ‘Indo ArcGIS’, a unique GIS solution & data offering suited for government organizations. Esri India collaborates with a rich ecosystem of partner organizations to deliver GIS and location intelligence-based solutions. Headquartered in Noida (Delhi NCR), the company has 1 million users in the country and has got Great Place to Work Certified® in 2021, 2022, and 2023.
Website:
Role overview
5+ Years of experience is required in practical machine learning, Proven data science and AI skills with Python, PyTorch and Jupyter Notebooks, Deep Learning.
This position will work closely with customer to understand their needs to develop and deliver models for India specific GeoAI use cases. He/she will be responsible for conceptualizing and developing solutions using ESRI products. Additionally, the role demands representing the organization at conferences and forums, showcasing expertise and promoting ESRI solutions. Should be capable of working independently, exhibiting strong problem-solving skills, and effectively communicating complex geospatial concepts to diverse audiences.
Roles & Responsibilities
- Consult closely with customers to understand their needs
- Develop and pitch data science solutions by mapping business problems to machine learning or advanced analytics approaches
- Build high-quality analytics systems that solve our customers’ business problems using techniques from data mining, statistics and machine learning
- Write clean, collaborative and version-controlled code to process big data and streaming data from a variety of sources and types
- Perform 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.
- Implement best practices and patterns for geospatial machine learning and develop reusable technical components for demonstrations and rapid prototyping
- Integrate ArcGIS with popular deep learning libraries such as PyTorch
- Keep up to date with the latest technology trends in machine and deep learning and incorporate them in project delivery
- Support in estimation and feasibility for various RFPs
Desired skillset
- 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)
Product Engineer - Geospatial Data Science
Posted today
Job Viewed
Job Description
Overview
Esri is the world leader in geographic information systems (GIS) and developer of ArcGIS, the leading mapping and analytics software used in 75 percent of Fortune companies. At the Esri R&D Center-New Delhi, we are applying cutting-edge AI and deep learning techniques to revolutionize geospatial analysis and derive insight from imagery and location data. We are passionate about applying data science and artificial intelligence to solve some of the worlds biggest challenges.
Our team develops tools, APIs, and AI models for geospatial analysts and data scientists, enabling them to leverage the latest research in spatial data science, AI, and geospatial deep learning. Our product engineers provide a strong technical voice in the product development process and use the best tools available to build highly reliable, sustained, and evolutionary software.
As a Product Engineer, you will play a key role in ensuring the quality and usability of our geospatial AI tools, models, and libraries. You will design and implement test plans, write test code, and validate software, SDKs, and AI models to help deliver robust, high-quality products to our customers. This will also include performing, documenting, and teaching a wide variety of technical tasks, developing best practices, creating tutorials and documentation, and gathering requirements. If you are passionate about geospatial AI, have a deep understanding of the product and customer needs, and communicate effectively via writing and presentations, this is the place to be!
Responsibilities
Requirements
Recommended Qualifications
#LI-PK1
#LI-Hybrid
About Esri
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their lifes best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esris Racial Equity and Social Justice initiatives, please visit our website .
If you dont meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
Requisition ID: -
Data Analysis
Posted today
Job Viewed
Job Description
Position Overview
The UAT Analyst will be responsible for ensuring claim opportunities are maximized in the Out of Network Department through monitoring of inventory, routing of claims and ensuring quality measures are applied for best outcomes. The responsibilities are inclusive of monitoring claim volume and turnaround time, reviewing claim routing decisions made by associates, and identifying claim savings opportunities. All responsibilities encompassed include execution within both the Zelis Claim Management System and/or the Zelis Compass system. This role will also be part of the Out of Network ART Scrum Team and will be responsible for the end-to-end user acceptance testing of the new and enhanced features/services envisioned for planned releases.Professional Experience:
Education:
Data Analysis
Posted today
Job Viewed
Job Description
**Responsibilities**:
- Enhances the organization's human resources by planning, implementing, and evaluating employee relations and human resources policies, programs, and practices.
- Maintains the work structure by updating job requirements and job descriptions for all positions.
- Prepares employees for assignments by establishing and conducting orientation and training programs.
- Manages a pay plan by conducting periodic pay surveys; scheduling and conducting job evaluations; preparing pay budgets; monitoring and scheduling individual pay actions; and recommending, planning, and implementing pay structure revisions.
- Ensures planning, monitoring, and appraisal of employee work results by training managers to coach and discipline employees; scheduling management conferences with employees; hearing and resolving employee grievances; and counselling employees and supervisors.
- Implements employee benefits programs and informs employees of benefits by studying and assessing benefit needs and trends; recommending benefit programs to management; directing the processing of benefit claims; obtaining and evaluating benefit contract bids; awarding benefit contracts; and designing and conducting educational programs on benefit programs.
- Ensures legal compliance by monitoring and implementing applicable human resource federal and state requirements, conducting investigations, maintaining records, and representing the organization at hearings.
Data Analysis
Posted today
Job Viewed
Job Description
**Responsibilities**:
- Enhances the organization's human resources by planning, implementing, and evaluating employee relations and human resources policies, programs, and practices.
- Maintains the work structure by updating job requirements and job descriptions for all positions.
- Prepares employees for assignments by establishing and conducting orientation and training programs.
- Manages a pay plan by conducting periodic pay surveys; scheduling and conducting job evaluations; preparing pay budgets; monitoring and scheduling individual pay actions; and recommending, planning, and implementing pay structure revisions.
- Ensures planning, monitoring, and appraisal of employee work results by training managers to coach and discipline employees; scheduling management conferences with employees; hearing and resolving employee grievances; and counselling employees and supervisors.
- Implements employee benefits programs and informs employees of benefits by studying and assessing benefit needs and trends; recommending benefit programs to management; directing the processing of benefit claims; obtaining and evaluating benefit contract bids; awarding benefit contracts; and designing and conducting educational programs on benefit programs.
- Ensures legal compliance by monitoring and implementing applicable human resource federal and state requirements, conducting investigations, maintaining records, and representing the organization at hearings.
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Data Analysis
Posted today
Job Viewed
Job Description
**Responsibilities**:
- Enhances the organization's human resources by planning, implementing, and evaluating employee relations and human resources policies, programs, and practices.
- Maintains the work structure by updating job requirements and job descriptions for all positions.
- Prepares employees for assignments by establishing and conducting orientation and training programs.
- Manages a pay plan by conducting periodic pay surveys; scheduling and conducting job evaluations; preparing pay budgets; monitoring and scheduling individual pay actions; and recommending, planning, and implementing pay structure revisions.
- Ensures planning, monitoring, and appraisal of employee work results by training managers to coach and discipline employees; scheduling management conferences with employees; hearing and resolving employee grievances; and counselling employees and supervisors.
- Implements employee benefits programs and informs employees of benefits by studying and assessing benefit needs and trends; recommending benefit programs to management; directing the processing of benefit claims; obtaining and evaluating benefit contract bids; awarding benefit contracts; and designing and conducting educational programs on benefit programs.
- Ensures legal compliance by monitoring and implementing applicable human resource federal and state requirements, conducting investigations, maintaining records, and representing the organization at hearings.
Data Analysis
Posted today
Job Viewed
Job Description
**Responsibilities**:
- Enhances the organization's human resources by planning, implementing, and evaluating employee relations and human resources policies, programs, and practices.
- Maintains the work structure by updating job requirements and job descriptions for all positions.
- Prepares employees for assignments by establishing and conducting orientation and training programs.
- Manages a pay plan by conducting periodic pay surveys; scheduling and conducting job evaluations; preparing pay budgets; monitoring and scheduling individual pay actions; and recommending, planning, and implementing pay structure revisions.
- Ensures planning, monitoring, and appraisal of employee work results by training managers to coach and discipline employees; scheduling management conferences with employees; hearing and resolving employee grievances; and counselling employees and supervisors.
- Implements employee benefits programs and informs employees of benefits by studying and assessing benefit needs and trends; recommending benefit programs to management; directing the processing of benefit claims; obtaining and evaluating benefit contract bids; awarding benefit contracts; and designing and conducting educational programs on benefit programs.
- Ensures legal compliance by monitoring and implementing applicable human resource federal and state requirements, conducting investigations, maintaining records, and representing the organization at hearings.
Data Analysis
Posted today
Job Viewed
Job Description
**Responsibilities**:
- Enhances the organization's human resources by planning, implementing, and evaluating employee relations and human resources policies, programs, and practices.
- Maintains the work structure by updating job requirements and job descriptions for all positions.
- Prepares employees for assignments by establishing and conducting orientation and training programs.
- Manages a pay plan by conducting periodic pay surveys; scheduling and conducting job evaluations; preparing pay budgets; monitoring and scheduling individual pay actions; and recommending, planning, and implementing pay structure revisions.
- Ensures planning, monitoring, and appraisal of employee work results by training managers to coach and discipline employees; scheduling management conferences with employees; hearing and resolving employee grievances; and counselling employees and supervisors.
- Implements employee benefits programs and informs employees of benefits by studying and assessing benefit needs and trends; recommending benefit programs to management; directing the processing of benefit claims; obtaining and evaluating benefit contract bids; awarding benefit contracts; and designing and conducting educational programs on benefit programs.
- Ensures legal compliance by monitoring and implementing applicable human resource federal and state requirements, conducting investigations, maintaining records, and representing the organization at hearings.