7 Remote Sensing Jobs nearby Mumbai

As a candidate for the role at ENGIE, you will be responsible for preparing and reviewing Energy Yield Assessment (EYA) reports. Your key responsibilities will include: - Conducting pre-feasibility studies and site assessments to determine suitable met-mast locations for wind energy projects. - Designing and developing wind farm layouts, taking into account factors such as wind patterns, terrain, and environmental impact. - Analyzing raw wind data, including wind speed and direction, to assess the potential power generation of wind energy systems. - Supporting new unit and service proposals through Wind Resource Assessment (WRA), Annual Energy Production (AEP) assessments, noise propagation assessments, and developing enhancement options. - Contributing to the improvement of WRA methods in terms of speed, productivity, and accuracy. - Collecting and analyzing wind data from various sources like meteorological towers, remote sensing devices, and historical weather data. - Ensuring the accuracy and quality of wind data through data cleansing and validation. - Developing site-specific wind turbine layouts and configurations. - Conducting complex engineering analyses to evaluate wind resources at potential project sites. - Delivering comprehensive reports and presentations to aid decision-making and project development. - Preparing Standard Operating Procedures (SOPs), technical documentation, including reports and manuals. You will be part of the GBU Renewables & Flexible Power business unit in the REN AMEA - India division of ENGIE Energy India Private Limited. The ideal candidate for this position should have more than 3 years but less than 15 years of relevant experience along with a technical qualification. ENGIE is an equal opportunity employer that is dedicated to creating a diverse and inclusive workplace. Reasonable accommodations can be provided upon request for individuals with disabilities.,

As an HR Generalist at EISPL, reporting directly to the Head of HR for MG India, your role involves serving as a business partner for the assigned business group. Your responsibilities include designing, executing, and implementing HR programs and initiatives in alignment with the business objectives of MG Global and the overall EATON organization. Key Responsibilities: - Partner with leaders to align HR programs and initiatives with business objectives, assess talent needs, and champion talent acquisition. - Facilitate the implementation of HR initiatives based on employee sensing inputs, business needs, and global & local HR strategy. - Establish two-way communication between employees and management through various channels and take necessary actions. - Collaborate with local and remote peers, including HR Business Partners, Talent Acquisition team, Eaton University, and HR Services team to address relevant issues. - Develop organizational capability through proactive performance management and succession planning. - Drive HR functional excellence by deploying Eaton programs, maintaining HR metrics, and ensuring quality alignment with the Eaton Business System. - Support comprehensive retention strategies through progressive HR practices, tools, and market analysis. - Encourage employee engagement through positive employee relations, modeling ethical standards, and addressing employee concerns sensitively. - Conduct employee satisfaction surveys, analyze results, and implement action plans to foster an inclusive and engaging culture. - Perform any other duties as assigned. Qualifications: - Master's degree in Human Resources, Psychology, or Business Administration from an accredited institution. Skills: - 4-7 years of generalist human resources experience. - Previous experience in a relevant HR Generalist/Business Partnership role. - Experience working in an MNC/Matrix organization. - Experience in the Engineering and/or Software Industry is advantageous. - Proficiency in Microsoft Office tools (e.g., Excel, Power BI, Word, PowerPoint). - Strong data analysis and management skills. - Ability to independently influence and partner with stakeholders. - Good coaching and facilitation skills. - Capacity to maintain confidentiality and handle sensitive situations effectively. - Effective analytical and problem-solving skills. - Accountable, action-oriented, and capable of driving change and business results. - Excellent interpersonal, oral, and written communication skills across all organizational levels. - Passionate about automotive industry.,

As a Data Scientist specializing in Computer Vision and Generative AI at a Renewable Energy/Solar Services company, your role will involve developing AI-driven solutions to revolutionize the analysis, monitoring, and optimization of solar infrastructure through image-based intelligence. Your work will enable intelligent automation, predictive analytics, and visual understanding in areas such as fault detection, panel degradation, site monitoring, and more. **Key Responsibilities:** - Design, develop, and deploy computer vision models for tasks like object detection, classification, segmentation, and anomaly detection. - Utilize generative AI techniques such as GANs and diffusion models to simulate environmental conditions, enhance datasets, and generate synthetic training data. - Build ML pipelines for end-to-end model training, validation, and deployment using Python and modern ML frameworks. - Analyze drone, satellite, and on-site images to extract insights for solar panel performance, wear-and-tear detection, and layout optimization. - Collaborate with cross-functional teams to understand business needs and develop scalable AI solutions. - Stay updated with the latest models, frameworks, and techniques to enhance model performance and robustness. - Optimize image pipelines for performance, scalability, and deployment in edge/cloud environments. **Key Requirements:** - 3 to 4 years of hands-on experience in data science with a focus on computer vision and ML projects. - Proficiency in Python and data science libraries like NumPy, Pandas, and Scikit-learn. - Expertise in image-based AI frameworks such as OpenCV, PyTorch, TensorFlow, Detectron2, YOLOv5/v8, and MMDetection. - Experience with generative AI models like GANs, Stable Diffusion, or ControlNet for image generation/augmentation. - Building and deploying ML models using tools like MLflow, TorchServe, or TensorFlow Serving. - Familiarity with image annotation tools (e.g., CVAT, Labelbox) and data versioning tools (e.g., DVC). - Proficiency in cloud platforms like AWS, GCP, or Azure for storage, training, or model deployment. - Experience with Docker, Git, and CI/CD pipelines for reproducible ML workflows. - Strong problem-solving skills, curiosity, and ability to work independently in a fast-paced environment. **Bonus / Preferred Skills:** - Experience in remote sensing and working with satellite/drone imagery. - Exposure to MLOps practices and tools like Kubeflow, Airflow, or SageMaker Pipelines. - Knowledge of solar technologies, photovoltaic systems, or renewable energy. - Familiarity with edge computing for vision applications on IoT devices or drones. Please note: No additional details of the company were provided in the job description.,

As a GIS Engineer joining the AI & Remote Sensing team, your role will involve working on high-resolution satellite image analysis, geospatial data processing, and large-scale spatial database management using modern cloud infrastructure. You will collaborate with AI/ML engineers, agronomists, and backend developers to design geospatial workflows and serve analytical layers to the Map My Crop platform. Key Responsibilities: - Develop and optimize geospatial data pipelines for satellite and drone imagery. - Manage and query PostgreSQL/PostGIS databases handling billions of geospatial records efficiently. - Deploy and manage GeoServer layers and WMS/WFS services for internal and external APIs. - Automate preprocessing and analysis of imagery. - Build and integrate AI/ML for agricultural applications. - Work with FastAPI to develop geospatial APIs and backend endpoints. - Implement scalable workflows on AWS (EC2, S3, SageMaker, etc.) for data storage and computation. - Visualize and validate outputs using QGIS / ArcGIS Pro, ensuring data quality and accuracy. - Collaborate with the data science team on custom remote sensing indices and feature engineering for crop analytics. - Support the integration of raster/vector layers into Map My Crops enterprise platform and dashboards. Qualifications Required: - Strong expertise in GIS software: QGIS, ArcGIS, and GeoServer. - Proficiency in PostgreSQL/PostGIS and spatial SQL queries. - Experience in remote sensing & satellite image analysis. - Programming skills in Python (GDAL, rasterio, geopandas). - Experience building or consuming APIs with FastAPI. - Familiarity with AWS services EC2, S3, SageMaker, CloudWatch. - Knowledge of machine learning / AI models for geospatial or agricultural use cases. - Understanding of coordinate systems, reprojection, tiling, and raster/vector operations. - Strong analytical and problem-solving mindset. Additional Company Details: The company values skills in GIS, remote sensing, raster, and ArcGIS. Good to have backgrounds in Agriculture, Environmental Science, or Remote Sensing Applications in AgTech. Familiarity with Docker, Git, Airflow, or CI/CD pipelines is a plus. Experience working with large-scale raster mosaics and multi-temporal datasets is advantageous. Basic understanding of JavaScript (Leaflet, Mapbox, or Cesium) for web map integration is considered beneficial.,

Role Overview: You will be responsible for conducting hydrological modeling and flood modeling using software such as HEC-RAS, HEC-HMS, QGIS, and other relevant software. Additionally, you will perform watershed analysis, flood risk assessment, and analyze historical rainfall data to estimate discharge for key return periods using statistical distribution analysis. You will also be required to analyze and interpret data from remote sensing and GIS applications, review topography and hydrology reports, and provide technical support on hydrological and flood inundation modeling. Furthermore, you will coordinate with clients on model development, data collection, and project updates, as well as prepare detailed reports, technical documentation, and presentations showcasing project outcomes, findings, and recommendations. Field visits for hydrological data collection and basic understanding of storm water drainage design will also be part of your responsibilities. Key Responsibilities: - Conduct hydrological modeling and flood modeling using software such as HEC-RAS, HEC-HMS, QGIS, and other relevant software - Perform watershed analysis and flood risk assessment - Analyze historical rainfall data to estimate discharge for key return periods using statistical distribution analysis - Analyze and interpret data from remote sensing and GIS applications - Review topography and hydrology reports - Provide technical support on hydrological and flood inundation modeling - Coordinate with clients on model development, data collection, and project updates - Prepare detailed reports, technical documentation, and presentations for clients showcasing project outcomes, findings, and recommendations - Conduct field visits for hydrological data collection - Basic understanding of storm water drainage design - Review hydrological analysis and flood risk assessment report - Perform and assess the drone topography survey at site along with pilots coordination - Basic understanding of soil properties and geotechnical investigation assessment and evaluation Qualifications Required: - Proficiency in hydrological modeling software such as HEC-RAS, HEC-HMS, and QGIS - Strong analytical skills for watershed analysis and flood risk assessment - Familiarity with statistical distribution analysis for historical rainfall data - Experience in remote sensing and GIS applications - Ability to interpret topography and hydrology reports - Excellent communication skills for client coordination and reporting - Knowledge of storm water drainage design - Understanding of soil properties and geotechnical investigation assessment,

As an experienced GIS Specialist, you will be responsible for developing a multi-layered geospatial mapping system for an interactive farm-management dashboard. Your key responsibilities will include: - Geospatial Data Layer Development: - Creating and integrating three primary geospatial layers: - Land Parcels: Property boundaries and field divisions - Vegetation Status: Real-time crop health and vigor mapping - Soil Types: Soil classification and characteristics mapping - Ensuring all layers are clean, well-structured, and ready for production use - GIS Software Implementation: - Working with QGIS and/or ArcGIS for desktop geospatial processing - Exporting data in formats compatible with web mapping frameworks (Leaflet, Mapbox, or similar) - Ensuring seamless integration between desktop GIS and web mapping stacks - Map Design & User Experience: - Designing intuitive symbology and styling for clear differentiation of vegetation vigor levels, soil classification types, and land parcel boundaries - Balancing visual clarity with information density - Enabling smooth zoom functionality from farm-level overview to individual field detail - Data Architecture & Integration: - Structuring attribute tables to support future integration with IoT sensors, farm machinery telemetry, and crop health monitoring systems - Preparing data schemas for dashboard widgets monitoring crop health metrics, water usage tracking, and input application tracking - Providing a whole-farm operational overview - Knowledge Transfer: - Conducting brief hand-off sessions and documenting project organization and layer structure - Training internal team members on updating and maintaining layers independently - Providing clear guidelines for adding new data sources Required Qualifications: - Technical Skills: - Proficiency in QGIS and/or ArcGIS Pro - Experience with web mapping frameworks such as Leaflet, Mapbox, OpenLayers, or ArcGIS Online - Strong understanding of geospatial data formats, coordinate systems, spatial databases, and data visualization principles - Experience with geoprocessing and spatial analysis - Domain Experience: - Previous work on agricultural, forestry, or environmental monitoring dashboards - Experience integrating remote sensing data and understanding vegetation indices and soil mapping - Familiarity with precision agriculture concepts - Soft Skills: - Strong problem-solving and spatial reasoning abilities - Excellent attention to detail and data accuracy - Ability to communicate complex geospatial concepts to non-technical stakeholders - Self-motivated with the ability to work independently Preferred Qualifications: - Bachelor's/Master's degree in GIS, Remote Sensing, Geospatial Science, Geography, or related field - Experience with Python scripting for GIS automation, knowledge of GPS/GNSS field data collection, familiarity with IoT sensor data integration, and experience with agricultural data sources - Portfolio demonstrating farm management or environmental monitoring projects In addition to the above, the company is focused on building an interactive farm-management dashboard and seeking an experienced GIS Specialist to develop the geospatial mapping system.,

As a Trainee Presales Technical Writer at Genesys International Corporation Ltd, located in SEEPZ, Andheri (E) Mumbai, you will play a crucial role in supporting the presales team by assisting in identifying client requirements, tailoring solutions to meet their needs, and supporting the creation and delivery of technical presentations, demos, and proof-of-concept solutions. Your collaboration with cross-functional teams will be essential to align proposed solutions with customer goals. Additionally, you will contribute to the preparation of RFP responses, technical documentation for proposals, and participate in solution design discussions to capture technical requirements from clients. Your role will also involve supporting the pre-sales team in qualifying opportunities, determining solution viability, staying informed on industry trends, emerging technologies, and competitor solutions, and assisting in developing solution architectures and providing cost estimates. Furthermore, you will coordinate with internal teams to ensure the accurate and timely delivery of presales documentation and provide technical support during client meetings and throughout the sales process. Qualifications & Experience: - 0-2 years of experience - Graduate in B.E/ B.Tech and Diploma/Bachelor/Masters Degree in Geo-informatics, GIS, Remote sensing - Geo Informatics or related qualification preferred Technical Skills: - Basic understanding of presales, technical solutions, and proposal development - Familiarity with relevant industry technologies, products, and solutions - Proficiency in CRM tools, MS Office, and basic technical platforms - Strong analytical skills with the ability to understand technical requirements - Experience in GIS based products Soft Skills: - Excellent communication and presentation skills to explain technical concepts to non-technical audiences - Teamwork and collaboration skills for working across departments - Problem-solving mindset and attention to detail - Time management and multitasking abilities in a fast-paced environment Preferred Skills: - Experience in participating in technical demos, presentations, or client meetings Apply Now: Mayuresh.Belvalkar@igenesys.com (Note: Any additional details of the company were not included in the provided job description.),

As an Operations Associate at DATAPKT Private Limited, you will play a key role in supporting project initiation, planning, execution, and delivery across GIS and drone survey assignments. Your responsibilities will include: - Supporting project initiation, planning, execution, and delivery across GIS and drone survey assignments. - Monitoring daily progress and milestones through updates from team leads. - Maintaining project schedules, documentation, and resource tracking. - Coordinating with internal teams - field, processing, and technical - for timely project execution. - Reviewing field progress reports to ensure compliance with operational and data quality standards. - Identifying potential risks or delays and taking corrective action. - Assisting in QA/QC coordination and final deliverable validation. - Preparing periodic progress and status reports for management and clients. - Tracking operational expenses and assisting with cost control documentation. - Contributing to process improvements, operational efficiency, and project growth initiatives. What we're looking for in an ideal candidate: - 0-2 years of experience in operations or field coordination (freshers welcome). - Excellent communication & coordination skills. - Strong organizational skills and attention to detail. - Basic knowledge of MS Excel and documentation tools. - Knowledge in GIS and Remote Sensing Software including ESRI ArcGIS Suite, QGIS, AutoCAD/Civil 3D, DGPS/GNSS Survey Tools, Total Station data handling, Drone Survey Processing Software such as Pix4D and Agisoft Metashape, and Satellite imagery analysis. Joining DATAPKT Private Limited will offer you the opportunity to work on cutting-edge drone technology and real-world infrastructure projects, be part of a dynamic and supportive team, and gain hands-on experience with project execution and field operations. If you are interested in this exciting opportunity, apply now at hr@datapkt.com with the subject line "Operations Associate".,

**Job Description** **Role Overview:** Join a short-term research internship focusing on analyzing large-scale and spatial datasets to provide insights for governance and development decisions. This role will involve a combination of data science, policy research, and geospatial analytics. **Key Responsibilities:** - Work with large datasets such as surveys, administrative data, or satellite/remote sensing data - Utilize programming skills in Python, R, SQL, and GIS tools like QGIS, ArcGIS, or GEE - Clean, merge, and visualize data from multiple sources - Apply strong analytical skills with a focus on data quality and reproducibility - Explore spatial econometrics, machine learning, or geospatial analytics - Gain experience in remote sensing, raster analysis, or night-lights data - Familiarize yourself with data visualization tools such as Tableau, Power BI, Plotly, etc. **Qualifications Required:** - Currently pursuing or holding a Masters, M.Phil., or Ph.D. from a reputed institution - Background in Economics, Statistics, Computer Science, Geography, Urban Planning, Public Policy, Environmental Studies, or related quantitative fields - Proficiency in handling large datasets and programming languages/tools mentioned above - Strong analytical mindset and attention to detail - Exposure or interest in spatial analysis and related fields **Additional Details:** You will enjoy flexible work hours and location, a mix of independent work and collaboration with senior researchers, and the opportunity to contribute to high-impact research and publications.,

As a Geospatial Data Scientist at Garudalytics, you will be responsible for leveraging your expertise in GIS and remote sensing to process and analyze geospatial data using Python and various GIS tools. Your role will involve developing and deploying machine learning and deep learning models, designing NLP solutions, analyzing complex data sets, collaborating with cross-functional teams, mentoring junior team members, and interpreting geospatial data from multiple sources. Additionally, you will develop algorithms for data processing and visualization, utilize ArcGIS and QGIS for spatial analysis, and generate APIs for efficient data management. **Key Responsibilities:** - Develop and deploy machine learning and deep learning models. - Design and implement NLP solutions. - Analyze complex data sets to inform business decisions. - Collaborate with cross-functional teams. - Mentor junior team members. - Analyse and interpret geospatial data from multiple sources. - Develop and implement algorithms for data processing, analysis, and visualization using Python. - Utilize ArcGIS and QGIS for spatial analysis and mapping. - Generate APIs to fetch and manage geospatial data efficiently. - Collaborate with cross-functional teams to integrate geospatial analysis into broader projects. - Conduct research and apply best practices in remote sensing and geospatial analysis. - Present findings and insights to stakeholders through reports and visualizations. **Qualifications:** - Education: Masters degree in Geoinformatics or GIS. - Experience: Minimum 2 years of experience in geospatial data analysis or related field. - Hands-on experience with Python for geospatial data manipulation and analysis. - Proficiency in ArcGIS and QGIS. - Familiarity with API development and data fetching. **Skills:** - Strong analytical and problem-solving abilities. - Excellent communication skills, both written and verbal. - Ability to work independently and collaboratively in a team environment. - Attention to detail and commitment to high-quality deliverables. **Preferred Qualifications:** - Experience with machine learning techniques applied to geospatial data. - Knowledge of API integration and data fetching. - Experience with object detection algorithms. - Understanding of spatial databases (e.g., PostGIS). - 3-5 years of experience in data science, machine learning, and deep learning. - Strong expertise in ML, DL, and NLP. - Proficiency in Python, TensorFlow, PyTorch, or Keras. - Experience with NLP libraries (NLTK, spaCy). If you are passionate about geospatial data analysis, have a strong educational background, hands-on experience, and the required skills, we encourage you to apply for this exciting opportunity at Garudalytics. The company is located in Hyderabad, and the position is full-time within the Data Science department. To apply, please submit your resume and cover letter to hr@garudalytics.com. *Note: Benefits include health insurance, provident fund, morning shift, performance bonus, and the ability to commute/relocate to Kukatpally, Hyderabad, Telangana. The application deadline is 07/06/2025, and the expected start date is 20/06/2025.* As a Geospatial Data Scientist at Garudalytics, you will be responsible for leveraging your expertise in GIS and remote sensing to process and analyze geospatial data using Python and various GIS tools. Your role will involve developing and deploying machine learning and deep learning models, designing NLP solutions, analyzing complex data sets, collaborating with cross-functional teams, mentoring junior team members, and interpreting geospatial data from multiple sources. Additionally, you will develop algorithms for data processing and visualization, utilize ArcGIS and QGIS for spatial analysis, and generate APIs for efficient data management. **Key Responsibilities:** - Develop and deploy machine learning and deep learning models. - Design and implement NLP solutions. - Analyze complex data sets to inform business decisions. - Collaborate with cross-functional teams. - Mentor junior team members. - Analyse and interpret geospatial data from multiple sources. - Develop and implement algorithms for data processing, analysis, and visualization using Python. - Utilize ArcGIS and QGIS for spatial analysis and mapping. - Generate APIs to fetch and manage geospatial data efficiently. - Collaborate with cross-functional teams to integrate geospatial analysis into broader projects. - Conduct research and apply best practices in remote sensing and geospatial analysis. - Present findings and insights to stakeholders through reports and visualizations. **Qualifications:** - Education: Masters degree in Geoinformatics or GIS. - Experience: Minimum 2 years of experience in geospatial data analysis or related field. - Hands-on experience with Python for geospatial data manipulation and analysis. - Proficiency in ArcGIS and QGIS. - Familiarity with API development and data fetching. **Skill

You will be responsible for digitization, editing, and spatial data analysis, including capturing on-ground information, performing various analyses on satellite data, and creating and maintaining GIS databases. You should have expertise in GIS and remote sensing software, as well as knowledge of GIS data collection and quantitative and qualitative data analysis. Additionally, you should demonstrate a keen understanding of spatial data and algorithms. Knowledge of crop mapping using remote sensing techniques would be an added advantage. Your role will involve performing image processing techniques like image classification and GIS analysis to derive meaningful information and results as per project requirements. Collaborating with colleagues to ensure maps are accurate and stable according to regional standards will also be part of your responsibilities. You will need good communication skills to prepare regular status reports, highlight urgent matters, create maps, write reports, and document procedures. Qualifications Required: - Bachelor's/Masters in Geomatics, remote sensing, GIS, agriculture, geography, or earth science - 0 to 5 years of experience in core GIS/Remote sensing projects - Hands-on experience with MS Office Please note that the above job description does not include any additional details about the company.,

Role Overview: As a Satellite Imagery Analyst, you will be responsible for acquiring, preprocessing, and analyzing satellite imagery utilizing open-source datasets such as Sentinel, Landsat, MODIS, DEM, among others. Your role will involve efficiently processing and managing large-scale geospatial catalogs. You will conduct vegetation, water stress, and land cover analysis by employing various indices like NDVI, NDWI, EVI, SAVI, and thermal bands. Key Responsibilities: - Utilize AI/ML algorithms to perform classification, segmentation, anomaly detection, and time-series pattern recognition on both raster and vector data. - Apply spatial analysis techniques to estimate biomass, carbon storage, forest loss, and environmental footprints. - Detect and map tree cover, land use change, water bodies, and burn scars using multispectral and temporal satellite imagery. - Implement pest/disease detection frameworks through image analysis and pattern matching techniques. - Translate raw satellite data into decision-support insights using GIS tools and visual dashboards. Qualifications Required: - Bachelor's degree in Geography, Remote Sensing, Geoinformatics, or a related field. - Proficiency in utilizing open-source satellite imagery datasets like Sentinel, Landsat, and MODIS. - Experience with indices such as NDVI, NDWI, EVI, SAVI, and thermal bands for geospatial analysis. - Strong knowledge of AI/ML algorithms for image analysis and pattern recognition. - Familiarity with GIS tools for translating satellite data into actionable insights. (Note: No additional details of the company were provided in the job description.),

As a Senior Technical Projects Lead at Varahas, you will play a crucial role in owning and driving the preparation of client-ready technical documents, due-diligence responses, and funding proposals. Your responsibility will be to ensure that Varahas" technical expertise is effectively communicated to stakeholders such as investors, auditors, standard bodies, and grant-makers. **Roles and Responsibilities:** - Receive and classify client questionnaires and proposal requests, identifying immediate answers, expert input requirements, and new documentation needs. - Draft precise technical responses with clear sources, assumptions, and limitations. - Create missing appendices, standard operating procedures, diagrams, and data summaries. - Coordinate inputs across teams, set timelines, and drive review and approval processes. - Maintain a structured answer library and a repository of client-ready documents, ensuring consistency in language and facts. - Lead or support grant applications, aligning writing with reviewer criteria and commercial goals. - Guide the commercial team on accurately presenting technical content. **Qualifications:** - Based in Europe or India, willing to travel to India and project sites when necessary. - 5 to 10 years of experience in smallholder regenerative agriculture and/or agroforestry in Africa or Asia. - Proven track record in technical writing for due-diligence processes, project design documents, monitoring reports, or proposal responses with provided writing samples. - Successful experience in grant writing or proposal leadership with measurable funding results. - Strong understanding of nature-based carbon projects, including baselines, additionality, permanence, leakage, and risk buffers. - Working knowledge of soil carbon and biomass measurement, monitoring, reporting, verification, and sampling design. - Ability to interpret agronomy data and remote-sensing outputs into concise, defensible claims. - Sound business judgment, presenting benefits, costs, and risks accurately. - Reliable process habits with structured intake, targeted requests to experts, careful citation, and disciplined document management. - Excellent written English skills. **Preferred:** - Experience with Verra, Gold Standard, or Plan Vivo, including auditor interactions. - Experience in writing standard operating procedures for field protocols, quality assurance, and quality control. - Familiarity with working in India. Join Varahas and enjoy a competitive salary, ESOPs policy, a key role in shaping a fast-growing climate tech startup, support for professional development, and a culture of undogmatic, unbureaucratic creativity and collaboration.,

As an enthusiastic individual passionate about the ocean and its interactions with the atmosphere, you have the opportunity to join a cutting-edge research team focusing on coastal processes, ocean waves, ocean-atmosphere interactions, and climate-driven extreme events along the Indian coastline. **Key Responsibilities:** - Conduct research on physical oceanography, marine science, and atmospheric science. - Explore coastal processes and ocean-atmosphere interactions. - Work on real-world problems impacting coastal communities. - Utilize numerical modeling, remote sensing, and data-driven climate research techniques. **Qualifications Required:** - Hold an M.Sc. in Physical Oceanography, Marine Science, Oceanography with a specialization in Physical Oceanography, Meteorology, Atmospheric Science, or a related field. - NET or GATE qualification is desirable. In the absence of suitable NET/GATE-qualified candidates, applicants without these qualifications will also be considered for the same position, with emoluments as per institutional norms. If you join this team, you can benefit from mentorship provided by experienced researchers, collaboration across interdisciplinary projects, and a stimulating environment that fosters innovation and scientific growth. To apply for this exciting research opportunity in physical oceanography, visit our Institute website at [https://www.nio.res.in/vacancies/temporary](https://www.nio.res.in/vacancies/temporary). Join us in advancing the science of the seas, where every wave tells a story!,

As a Town and Country Planning Coordinator, your role will involve coordinating with consultants to oversee field surveys, methodologies, timelines, and mapping requirements. You will be responsible for conducting thorough quality checks and reviews of all project deliverables submitted by consultants at each stage of completion. Your expertise in Urban Planning, Geo-informatics, GIS, Remote Sensing, or related fields will be crucial for the preparation of land use maps, spatial analysis, georeferencing cadastral maps, and overlay of Field Measurement Book (FMB) onto cadastral maps using GIS software. In addition, your understanding of urban planning principles and the preparation of Master Plans will be essential for the development and refinement of universal guiding documents and toolkits for Master Plan preparation and implementation. Furthermore, you will be required to collect and organize existing design and utility service details for project reference. Key Responsibilities: - Coordinate with consultants for field surveys, methodologies, timelines, and mapping requirements - Conduct quality checks and reviews of project deliverables - Prepare land use maps, spatial analysis, and georeference cadastral maps using GIS software - Develop guiding documents and toolkits for Master Plan preparation - Organize design and utility service details for project reference Qualifications Required: - Master's degree in Urban Planning, Geo-informatics, GIS, Remote Sensing, or related field - Knowledge and experience in spatial analysis and GIS software - Familiarity with urban planning principles and Master Plan preparation - Strong attention to detail and ability to conduct thorough quality checks Please note that this is a full-time position with a day shift schedule and the opportunity for a yearly bonus. The work location is in person.,

Role Overview: You will be joining the AnthroKrishi team at Google DeepMind as a Research Scientist, where you will be developing cutting-edge AI solutions to tackle global issues related to food security and climate change. Your work will involve pushing the boundaries of computer vision and machine learning to directly impact agricultural systems on a global scale. Key Responsibilities: - Pioneering innovative computer vision models to create a comprehensive understanding of agriculture using diverse satellite data sources. - Addressing core AI challenges by developing adaptable models that can effectively analyze various agricultural systems, ranging from smallholder farms to large industrial fields. - Leading research efforts towards the significant goal of field-level crop yield forecasting, which includes enhancing spatio-temporal reasoning and learning from limited or sparse data effectively. - Conducting large-scale experiments, writing high-quality, reusable code (preferably JAX), and contributing to the development of a production-ready system. - Mentoring junior researchers, collaborating with multidisciplinary teams within Google, and presenting your work at prominent conferences. Qualifications Required: - PhD or equivalent practical research experience in Computer Science, AI, or a related field with expertise in computer vision and/or machine learning. - Proven track record of publications in top-tier AI conferences like NeurIPS, CVPR, ICCV, ICLR. - Hands-on experience in building and training deep learning models using frameworks such as JAX, TensorFlow, or PyTorch. Additional Company Details: The AnthroKrishi team at Google DeepMind is dedicated to creating a digital understanding of global agriculture to ensure a sustainable and food-secure future. By leveraging AI models that operate at a planetary scale and transform satellite data into actionable insights, the team aims to support farmers, policymakers, and humanitarian organizations worldwide. Join this team to contribute to solving fundamental AI challenges and address critical global needs.,

Roles & Responsibilities: Design, develop, and maintain GIS applications and tools. Work with spatial databases and integrate GIS solutions with enterprise systems. Perform spatial analysis, data modeling, and geoprocessing tasks. Develop web-based GIS applications using frameworks like OpenLayers, Leaflet, or ArcGIS API for JavaScript. Customize and automate workflows using Python, JavaScript, or other scripting languages. Manage and optimize geospatial data in databases such as PostGIS, SQL Server, or Oracle Spatial. Collaborate with cross-functional teams to deliver GIS solutions for business needs. Required Skills: Strong knowledge of GIS concepts and geospatial technologies. Hands-on experience with ArcGIS, QGIS, GeoServer, or similar platforms. Proficiency in Python, JavaScript, and web development for GIS. Experience with spatial databases and SQL. Familiarity with remote sensing, cartography, and spatial analysis. Good understanding of REST APIs and integration with GIS services.

Experience & Educational Requirements * Minimum of 7 years relevant experience in AI/ML engineering, data science or related roles (industry or product engineering). * Bachelors or Masters degree in Computer Science, Information Technology or similar. * Strong preference: B.Tech/M.Tech in CSE/IT or equivalent and good depth in data structures, algorithms, mathematics for ML. * Demonstrable track record of building and deploying ML models in production (for at least 35 years within the 7+). * Experience in productoriented work (versus purely research) is advantageous.Key Responsibilities * Lead the design, development, implementation and optimization of machine learning, deep learning and anomalydetection models to power Tranzmeos flagship product (e.g., TConnect OneView) and other AI solutions for industrial/IoT infrastructure. * Work endtoend: Data ingestion, cleaning, feature engineering, model training, evaluation, deployment (edge/cloud/hybrid) and monitoring. * Collaborate with hardware/edge teams (e.g., fiberoptic sensing, DAS/DTS data streams) to integrate signal / sensor data pipelines, enabling realtime/nearrealtime anomaly detection. * Build scalable architectures for AI/ML workflows covering large volumes of streaming data, distributed processing, possibly edgecomputing constraints. * Mentor junior ML/data engineers, review code, design best practices, enforce engineering discipline (unittestable code, model versioning, reproducibility). * Engage with crossfunctional stakeholders (product management, domain experts in oil & gas/infrastructure, field engineering) to translate business or operational problems into ML solutions, and iterate model outcomes. * Keep abreast of latest developments in ML/AI (especially anomaly detection, streaming analytics, sensorsignal processing, edge ML) and bring actionable innovation into the companys tech stack. * Contribute to technical architecture decisions, choosing frameworks/libraries/tools (e.g., Python ecosystem, TensorFlow/PyTorch, streaming frameworks, cloud/edge deployment). * Measure model performance in production, define KPIs for detection/falsealarm rates, maintain model drift tracking, identify when to retrain/refine. * Document designs, maintain clear version control, ensure reproducibility of experiments, and manage model lifecycle. * Assist in patenting, IP documentation or presenting internal/external publications/workshops (given the companys deeptech orientation).  Required Technical Skills * Excellent proficiency in Python (including libraries such as NumPy, Pandas, ScikitLearn, etc.). * Strong programming skills: algorithmic thinking, data structures, software engineering fundamentals, version control (Git), code reviews. * Deep experience in ML/AI: supervised, unsupervised, anomaly detection, timeseries, streaming data, deep learning (CNNs, RNNs/LSTM, transformers if applicable). * Experience with sensor data, large scale data ingestion/processing pipelines, streaming analytics (e.g., Kafka, Spark Streaming, Flink) is a plus. * Knowledge of deployment of ML models: either cloud (AWS, Azure, GCP) or edge/hybrid, model serving frameworks, monitoring tools. * Familiarity with IoT/industrial data domains (e.g., pipelines, remote sensing, fiberoptic sensors) is highly desirable domain knowledge will accelerate impact. * Strong mathematics/statistics background: probability, linear algebra, optimization, hypothesis testing, performance metrics ROC/AUC etc. * Ability to write clean, maintainable engineering code (not just notebooks) and collaborate with software / embedded teams. * Good communication skills for liaising with nonML stakeholders, explaining model outcomes, presenting results.  Desired Additional Skills / Attributes * Experience with anomaly detection frameworks and techniques specific to industrial systems, remote sensing, intrusion detection. * Experience with big data technologies (Hadoop/Spark, NoSQL, timeseries databases) and large scale datasets (millions of records) * Familiarity with edge computing constraints: model size, latency, hardware sensors, embedded systems. * Intellectual curiosity, startup mindset: able to work in a growing, somewhat lean organization, comfortable with ambiguity, taking initiative. This aligns well with Tranzmeos culture (entrepreneurial outlook, independent thinking) * Leadership / mentoring ability: able to guide junior engineers, elevate teams capability. * Strong problemsolver: able to pick up domain knowledge rapidly (oil & gas/infrastructure), translate business problem into ML pipeline. * Good documentation, reproducibility mindset, focus on production readiness (not just prototyping). * Willingness to travel or work with field data, deploy models in industrial settings if needed.

As a candidate for this role, you will be required to have a Post Graduate/Degree/Diploma in Engineering/Science with a specialization in GIS, RS. Your domain expertise should include GIS, Remote Sensing, and Image Processing. Key skills that are essential for this position are proficiency in AutoCAD for QC work and a strong foundation in GIS knowledge. Your experience level should ideally be between 1 to 3 years in the related field. Please note that no additional details about the company are provided in the job description.,

Role Overview: At CEEW, as a Consultant in the Technology & AI team based in New Delhi, India, you will be responsible for performing geospatial data analysis, processing, visualization, and developing automated workflows using Python, Google Earth Engine (GEE), and QGIS. Your key role will involve transforming raw spatial data into actionable insights and creating informative map products. Key Responsibilities: - Perform spatial analysis using QGIS, Python libraries, and Google Earth Engine to address project-specific questions. - Develop scripts in Google Earth Engine for large-scale satellite imagery processing, time-series analysis, and environmental monitoring tasks. - Develop and maintain Python scripts to automate geospatial data processing workflows and integration tasks. - Utilize QGIS for data creation, editing, geoprocessing, and production of high-quality cartographic outputs. - Manage and ensure the quality control of various vector and raster geospatial datasets. - Create compelling maps, visualizations, and reports to communicate spatial patterns and analytical findings. - Collaborate with project teams, data scientists, researchers, and stakeholders effectively. Qualifications Required: - Bachelors or Masters degree in Computer Science, Geoinformatics, Remote Sensing, Environmental Science, or related field. - Minimum of 1-3 years of relevant professional experience in geospatial data analysis. - Proficiency in Python programming for geospatial analysis, GEE platform, and QGIS. - Familiarity with cloud computing platforms, version control systems, and web mapping libraries. - Understanding of Geo-AI and ML concepts. - Strong problem-solving and analytical skills with effective communication in English. Additional Details: At CEEW, you will find a supportive and challenging environment that values talent, ambition, and curiosity. The organization promotes leadership by initiative and offers above-market remuneration. Your work at CEEW will be surrounded by smart individuals who will help you grow and learn faster than your peers in other organizations. Moreover, CEEW provides a safe space for all employees, where your life serves as an example for others. Note: The company emphasizes on strong visionary leadership with a focus on research and impact at scale. Please follow the application process mentioned by the company for further consideration.,