We re seeking a Marketing Operations Manager to enhance operational efficiency by tracking and analyzing marketing metrics across various channels. This role involves working closely with both internal and external stakeholders to optimize marketing strategies. The ideal candidate will possess strong data analysis abilities, experience with marketing automation tools, and a proven track record of collaborating across teams to improve processes and scale initiatives. Role & Responsibilities 1.Event Management Strategically plan and identify events aligned with SatSures business goals. Secure prime slots, speaking opportunities, and sponsorships for impactful participation, and facilitating ROI. Manage event calendars, stakeholder communication, vendor payments, and budgets related to company events. Collaborate with stakeholders across verticals to research and scout quarterly event lists. Create a tracker for all events and share post-event reports highlighting key metrics. 2. Marketing Campaign: Plan, execute, and track multi-channel marketing campaigns (paid and organic) to meet marketing goals. Manage campaign reporting, analyze data, and provide actionable insights for continuous optimization. Coordinate with stakeholders, designers, and vendors to ensure timely preparation of assets for seamless campaign launches. 3. Social Media Management: Manage social media handles for SatSure and KaleidEO by posting approved content, including tech/product posts, company updates. Ensure alignment with the companys brand voice and deliver monthly and quarterly performance reports to stakeholders. 4. Website Content Management: Perform quality checks on website content and ensure SEO hygiene, including managing meta tags and descriptions. Work with the website development team/vendor to update and maintain all website pages, event and product landing pages. Prepare and present regular monthly and quarterly website performance reports. Qualifications Bachelor s or Master s degree in Marketing, Business, or a related field. 2-5 years of experience in B2B marketing operations or event management. Hands-on experience with digital marketing, campaign management, and social media operations. Must-Have: Proven experience in executing and analyzing multi-channel marketing campaigns. Strong proficiency in HubSpot, SEMRush, Google Analytics, and WordPress. Excellent communication skills for effective stakeholder collaboration. Good-to-Have: Experience with B2B marketing, including email, social media, and event marketing. Expertise in creative storytelling and asset development. Familiarity with emerging marketing technologies and a data-driven mindset for optimization.

As a Machine Learning Intern, your primary responsibility is to design, build, and maintain scalable ML/DL workflows across SatSure s products. You will work closely with cross-functional teams, including data scientists, geospatial analysts, and software engineers, to build these workflows. Key Responsibilities: Implementation Focus: Implementing model architectures and training workflows designed by our Data Science (DS) team. Scalability & Optimization: Optimize ML/DL workflows for scalability, handling large-scale data challenges, and improving cost and time efficiency. Collaboration and Communication: Collaborate with cross-functional teams to understand geospatial data requirements and provide technical expertise and support. Communicate findings, insights, and technical solutions effectively to both technical and non-technical stakeholders. Key Qualifications: Educational Background & Experience: Bachelor s or Master s degree in Computer Science (or related discipline) with 1 year of experience in building and scaling end-to-end ML/DL pipelines. Technical Expertise: Proficient in Python, ML/DL fundamentals, and PyTorch for designing, fine-tuning, and deploying computer vision pipelines (eg, object detection, image segmentation). Problem-solving & Workflow Management: Skilled in rapid prototyping, handling large datasets, version control (Git), and writing test cases for ML/DL workflows. Collaboration & Communication: Strong analytical abilities, excellent teamwork, and communication skills to thrive in cross-functional environments. Good to have(Bonus points): Geospatial Expertise: Proficient in geospatial libraries like Rasterio, Xarray, Geopandas, and GDAL, with experience in working with raster and vector data. Distributed Computing & Workflow Management: Knowledge of distributed computing frameworks (eg, Dask) and familiarity with workflow management tools such as Airflow or MLflow. Cloud Platforms: Experience working with public cloud platforms, including AWS or GCP. This role is ideal for individuals passionate about building robust, scalable ML/DL systems to enable organizations to leverage the power of geospatial information for various applications, including urban planning, environmental monitoring, transportation, agriculture, and emergency response. Why should you join us? Cutting-Edge Projects: Work on innovative geospatial and AI/ML solutions addressing real-world challenges. Skill Development: Learn from industry experts in a supportive, growth-focused environment. Meaningful Impact: Contribute to projects that drive global change in agriculture, urban planning, and disaster management.

We are looking for an Data Science Intern in our EO Applied Data Science (EO Data) Team Our mission is realized through foundational research and development in applied machine learning With a plethora of Geospatial Data Science use cases that we have solved so far, such as Land Use and Land Cover (LULC), Crop Classification, Sowing and Harvest Progression, Change Detection, Route Optimization, Satellite Image Time-Series (SITS) classification, Image2Image (I2I) Translation, Cross-Modal Fusion etc, we are now focusing on advancing the next-generation Machine Learning (ML) applications, and surpass the State-Of-The-Art (SOTA), especially in more ambiguous, complex geographies We look forward to applying our research to critical products while touching the lives of millions of users, via revolutionary, real, and near-real-time large-scale software systems utilizing Terabytes of data At the core of such systems, we envision foundational geospatial data science models that are season, modality, and ground agnostic We have been at the forefront of adaptable and efficient models, as evidenced by our findings through publications at top ML/GRS conferences Key Responsibilities: Work in collaboration with applied data scientists, MLOps, geospatial experts, and platform engineers to envision solutions to real-world, ambiguous business use cases with low latency/ high throughput. Focus on identifying and solving assigned problems with simple and elegant solutions, while working backwards from desired requirements. Quickly propose and validate hypotheses to direct the science roadmap. Own time-bound, End-to-End (E2E) solutions for ML applications, ranging from resource, requirements gathering, data collection, cleaning and annotation, model development, and validation. Brainstorm, deep dive, implement, and debug into fundamentals of the systems (eg, architectures, losses, efficiency, serving, etc), while writing clean code. Define proper output Data Science metrics. Clearly communicate findings verbally and in writing to stakeholders of varied backgrounds. Have attention to detail. Engage and initiate collaborative efforts to meet ambitious (applied research and product/client delivery) goals. Innovate and advance State-Of-The-Art (SOTA) in-house solutions, and communicate findings as IPs (patents, papers), as deemed applicable by business. About You: Pursuing M.Tech, MS (Research), PhD in a technical field (eg, CS, EE, EC, Remote Sensing, etc), preferably from leading academic/ industrial labs/institutes, or corporates. Undergraduates/Dual-Degree with research experience as mentioned below may also be considered. A proven track record of relevant experience in computer vision, NLP, learning theory, optimization, ML systems, foundational models, etc Technically familiar with some, or most of (as evidenced by problem-solving skills in novel scenarios): Convolutional Neural Networks (CNNs), LSTMs/RNNs/GRUs, Transformers, UNet, YOLO, RCNN, Encoder-Decoder Architectures, Generative Models (GAN, VAE, Diffusion), Contrastive Learning, Self-Supervised Learning, Semi-Supervised Learning, Representation Learning, Image Super Resolution, Traditional Machine Learning (Classification, Regression, Clustering), Active Learning, Learning with Noisy Labels, Multimodal Learning, Synthetic Aperture Radar (SAR)/VV-VH bands, Normalized Difference Vegetation Index (NDVI), False Colour Composite (FCC), Dimensionality Reduction (PCA, UMAP, Isomap), Time-Series Modeling/ Forecasting, Model compression (Distillation, Pruning, Quantization), Automatic Mixed Precision training, Fourier Neural Operator (FNO), Climate+AI, Domain Adaptation, Domain Generalization, Anomaly Detection etc Experience working in industry (0-1 years of experience), if applicable will also be considered. Candidates with prior publications in (main tracks/ workshops of) ICLR, CVPR, ICCV, ECCV, NeurIPS, ICML, AAAI, IJCAI, ACL, EMNLP, TACL, NAACL, TMLR, IGARSS, InGARSS, IEEE Transactions, etc, would have an edge too (with preference to first-authored ones). Proficiency in at least one general programming language (preferably, Python), along with strong hands-on experience with ML frameworks (eg PyTorch) in terms of training large, optimized, scalable, ML models. Experience with SQL, large-scale distributed systems (eg, Spark), and MLOps will be handy. Strong verbal and written communication skills

We are looking for a Senior Engineering Manager to lead our Application Platform UI team. If you are passionate about building solutions that are reusable and improve front-end experiences then this is a role for you! Roles & Responsibilities: Engineering Execution: Lead a team of software engineers through hiring, mentoring, and hands-on career development. Provide mentorship and growth opportunities for the engineers in your team. Drive cultural and process improvements through engineering excellence, quality, and efficiency. Setting up high-performance engineering teams with a high bar on quality and speed of execution. Communicate strategy, plans, and status at all levels. Qualification : 6 - 12 years of work experience in Software Development 2 + years of experience managing teams. Bachelors or Masters degree in Computer Science or Information Technology Must-have: Experience leading and managing a team of software developers, including performance management, coaching, and mentoring. Experience managing employee performance and career growth Experience driving operational and engineering excellence improvements across teams. Experience and passion for shipping platform tooling. Benefits: Medical Health Cover for you and your family including unlimited online doctor consultations Access to mental health experts for you and your family Dedicated allowances for learning and skill development Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves Twice a year appraisal

We are looking for a Senior Data Scientist/TL in our EO Applied Data Science (EO Data) Team. Our mission is realized through foundational research and development in applied machine learning. With a plethora of Geospatial Data Science use-cases that we have solved so far, such as Land Use and Land Cover (LULC), Crop Classification, Sowing and Harvest Progression, Change Detection, Route Optimization, Satellite Image Time-Series (SITS) classification, Image2Image (I2I) Translation, Cross Modal Fusion etc, we are now focusing on advancing the next-generation Machine Learning (ML) applications, and surpass the State-Of-The-Art (SOTA), especially in more ambiguous, complex geographies. We look forward to applying our research to critical products, while touching the lives of millions of users, via revolutionary, real, and near-real time large-scale software systems utilizing Terabytes of data. At the core of such systems, we are envisioning foundational geospatial data science models that are season, modality and ground agnostic. We have been at the forefront of adaptable and efficient models, as evidenced by our findings through publications at top ML/GRS conferences. Roles & Responsibilities: Own a couple of technical roadmaps and charters for assisting the science manager in terms of resource management. Technically mentor science staff and projects. Work in collaboration with product owners, applied data scientists, MLOps, geospatial experts, platform engineers to envision solutions to real-world, ambiguous business use-cases with low latency/ high throughput. Focus on identifying and solving customer problems with simple and elegant solutions, while working backwards from customer requirements. Quickly propose and validate hypotheses to direct the product roadmaps. Own time-bound, End-to-End (E2E) solutioning of large-scale ML applications, ranging from resource, requirements gathering, data collection, cleaning and annotation, model development, validation, deployment, monitoring, etc Brainstorm, deep dive, implement, debug into fundamentals of the systems (eg, architectures, losses, efficiency, serving etc), while writing clean, production level code, and conduct A/B as necessary. Define proper output Data Science metrics and calibrate them to the desired business metrics. Clearly communicate findings verbally and in writing to stakeholders of varied backgrounds. Have attention to detail. Engage and initiate collaborative efforts to meet ambitious (applied research and product/client delivery) goals. Innovate and advance State-Of-The-Art (SOTA) in-house solutions, and communicate findings as IPs (patents, papers), as deemed applicable by business. Mentor junior staff, interns as applicable. Assist Science managers in effective project, resource management, hiring, and timely deliverables (in an agile manner), via showcasing strong sense of ownership and accountability. Qualification: M.Tech, MS (Research), PhD in a technical field (eg, CS, EE, EC, Remote Sensing, etc), preferably from leading academic/ industrial labs/institutes, corporates. Undergraduates/Dual-Degree with research experience as mentioned below may also be considered. Experience working in industry (2-6 years of experience), on projects from proof-of-concept to deployment and monitoring, while partnering with business stakeholders, product managers, engineers, and other data scientists to translate business needs into technical, deployed solutions. 1-2 years of industry experience as a technical leader, as evidenced by simultaneous, multiple project and/or people management/mentorship instances. Demonstration of functioning in a matrixed organization while aligning cross-functional stakeholders towards shared goals, and exhibiting excellent behavioral skills. Must-have: A proven track record of relevant experience in computer vision, NLP, learning theory, optimization, ML+Systems, foundational models, etc Technically familiar with some, or most of (as evidenced by problem solving skills in novel scenarios): Convolutional Neural Networks (CNNs), LSTMs/RNNs/GRUs, Transformers, UNet, YOLO, RCNN, Encoder-Decoder Architectures, Generative Models (GAN, VAE, Diffusion), Contrastive Learning, Self-Supervised Learning, Semi-Supervised Learning, Representation Learning, Image Super Resolution, Traditional Machine Learning (Classification, Regression, Clustering), Active Learning, Learning with Noisy Labels, Multimodal Learning, Synthetic Aperture Radar (SAR)/VV-VH bands, Normalized Difference Vegetation Index (NDVI), False Colour Composite (FCC), Dimensionality Reduction (PCA, UMAP, Isomap), Time-Series Modeling/ Forecasting, Model compression (Distillation, Pruning, Quantization), Automatic Mixed Precision training, Fourier Neural Operator (FNO), Climate+AI, Domain Adaptation, Domain Generalization, Anomaly Detection etc Candidates with prior publications in (main tracks/ workshops of) ICLR, CVPR, ICCV, ECCV, NeurIPS, ICML, AAAI, IJCAI, ACL, EMNLP, TACL, NAACL, TMLR, IGARSS, InGARSS, IEEE Transactions, etc, would have an edge too (with preference to first-authored ones). Proficiency in at least one general programming language (preferably, Python), along with strong hands-on experience with ML frameworks (eg PyTorch) in terms of training large, optimized, scalable, ML models. Strong verbal and written communication skills. Experience with SQL, large scale distributed systems (eg, Spark), MLOps will be handy. Benefits: Medical Health Cover for you and your family including unlimited online doctor consultations Access to mental health experts for you and your family Dedicated allowances for learning and skill development Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves Twice a year appraisal

We are looking for an Engineering Manager interested in building, scaling and operating geospatial software platforms to support state-of-the-art products, these products need to scale to millions of daily transactions with 99.99% uptime while allowing continuous and rapid deployments across new business lines. Roles and Responsibilities: Engineering Planning & Design Design and deliver highly scalable, secure geospatial backend platforms for web and mobile applications. Architect and implement large-scale distributed systems, including experience with queuing systems (e.g., RabbitMQ, Kafka, SQS) and event-driven frameworks to ensure high availability and scalability. Supporting product team in facilitating daily scrum, sprint planning and retrospective meetings. Collaborate with stakeholders, project managers, and developers to align on long-term technology roadmaps and deliverables. Engineering Development Build and operate resilient geospatial applications optimised for low-latency, high-throughput workloads. Collaborate with product managers and cross-functional teams to design and implement cohesive, user-centric solutions. Write high-quality, maintainable code and champion engineering best practices for performance, reliability, and scalability. Drive the development of monitoring, alerting, and observability frameworks to ensure platform stability and fault tolerance. Team Development Define clear career paths and provide regular coaching and mentoring to support team members professional growth. Cultivate a culture of ownership, collaboration, and continuous learning within the engineering team. Qualification: 7-8 years of hands-on experience in software development, with a proven track record of designing and scaling platforms for high-volume, low-latency applications. 3+ years of experience leading and managing software engineering teams, including performance management, coaching, and mentoring. Candidate with a Bachelor s degree in CS or IT Must-have: Strong experience with queuing systems and designing distributed, event-driven architectures. Proficiency in developing and maintaining APIs for web and mobile applications using Python and PostgreSQL (or similar tech stack). Should have actively led product and/or technology planning initiatives for the organization. Demonstrated experience in leading significant product or process improvement initiatives within an organization. Expertise in cloud infrastructure platforms such as AWS, Azure, or Google Cloud Platform, including familiarity with managed services for databases, containers, and competing. Demonstrated understanding of DevOps practices, including CI/CD, monitoring, and infrastructure as code (e.g., Terraform). Proficiency with Agile methodologies such as Scrum, Kanban, or similar frameworks. Knowledge of platform engineering practices, including building reusable components and managing multi-tenant applications. Good-to-have: Familiarity with geospatial technologies and frameworks (e.g., PostGIS, GeoServer, or GDAL) is a plus.

We are looking for a Software Development Engineer interested in building, scaling, and operating geospatial software platforms to support state-of-the-art products, these products need to scale to millions of daily transactions with 99.99% uptime while allowing continuous and rapid deployments across new business lines. Roles Responsibilities: Engineering Planning Design Designing highly scalable and secure backend platforms for web and mobile applications. Supporting product team in facilitating daily scrum, sprint planning, and retrospective meetings. Regularly communicate with stakeholders, project managers, and other developers regarding progress on the long-term technology roadmap. Coordinate with different teams to understand user requirements and provide technical solutions. Engineering Development Building, scaling, and operating software platforms to support products. Collaborating with the product managers and other team members to establish objectives and design more functional, cohesive codes to enhance the user experience. Produce quality code, raising the bar for the whole team on quality and speed. Optimize applications for minimum latency and high scalability. Qualification: 3 - 5 years of working experience in software development. Candidate with a Bachelor s degree in Computer Science or Information Technology Must-have: Proficient in at least one of the following languages - Python or Javascript (node) Good understanding of RDBMS NoSQL databases. Good understanding of MQ systems like RMQ, Kafka, SQS Experience with core web-enabling technologies on cloud infrastructure providers like Amazon Web Services, Microsoft Azure, Google Cloud Platform, etc. Strong knowledge of Scrum or Agile frameworks such as Kanban, Crystal, etc. Good to Have: Experience in building web scraping infrastructure and data management. Experience with orchestration tools like Airflow, Celery Workflows, etc Experience in building geospatial applications.

We are looking for a Geospatial Analyst, for the data generation team, you will be working with various datasets like satellite imageries, boundaries, weather data, etc Roles Responsibilities: Operations Processing satellite imagery and developing insights out of them. Run and develop models for developing insights. Feature identification and classification from satellite images. Prepare reports and maps Handle and support the client deliveries Research The applicants are expected to carry out the required research for the operational works. Bring about their own experience in developing newer data products or optimization of existing models. Creation of software-based and/or programming-based models for the semi or complete automation of certain processes. Qualification : 2 -3 years of working experience in Geospatial projects. Degree in the Geospatial/Geomatics/Remote Sensing/ GIS (or related) field Must-have: Hands-on knowledge of QGIS, Erdas Imagine, Arc GIS, and other Geospatial software. Hands-on experience with the Google Earth Engine and Python programming is an added advantage. Must have worked extensively with Raster data and satellite imageries. Must have a great understanding of image classification and expert knowledge of the concepts of Remote Sensing. Good understanding of programming and automation logic Should have excellent communication skills and be a team player. Should be able to work independently and in a team environment. Understanding Geo statistics is an added advantage. Must know Excel and PowerPoint. Good to Have: An understanding of agricultural remote sensing is desired. Benefits: Medical Health Cover for you and your family including unlimited online doctor consultations Access to mental health experts for you and your family Dedicated allowances for learning and skill development Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves Twice a year appraisal

Seeking a skilled Principal Satellite Image Processing Engineer to spearhead the development of a high-performance image processing pipeline for satellite optical sensors, utilizing advanced algorithms and leading a team of junior and mid-level engineers for precise, real-time analysis. Roles and Responsibilities Pipeline Architecture Development: Lead the design, development, and implementation of an efficient, scalable image processing pipeline for satellite optical sensor data, from raw data ingestion to analysis-ready outputs. Algorithm Design : Develop and optimize algorithms for key image processing stages, including radiometric and geometric correction, atmospheric correction, image enhancement, mosaicking, and orthorectification. Data Preprocessing: Oversee the development of robust preprocessing techniques to handle satellite imagery (noise reduction, calibration, sensor alignment, etc.) for optimal analysis accuracy. Advanced Image Analysis: Apply cutting-edge techniques such as deep learning, object detection, and spectral analysis to extract meaningful insights from optical imagery (e.g., DEM/DSM, change detection). Integration with Cloud and On-Premise/On-Edge Systems : Develop and implement solutions for cloud-based processing (e.g., AWS, Google Cloud) or hybrid environments to handle large-scale satellite data efficiently. Automation Scalability: Ensure the pipeline is automated, efficient, and scalable to handle high-volume satellite data processing tasks. Team Leadership: Provide technical leadership and mentorship to a team of engineers and researchers, guiding them through the design and development of components within the processing pipeline. Cross-functional Collaboration: Work closely with other teams, including data scientists, software engineers, and GIS specialists, to integrate image processing pipelines into broader systems and applications. Quality Control: Ensure the pipeline delivers high-quality, accurate image products by implementing quality assurance practices and validating outputs against ground truth or reference data. Research Innovation: Stay up-to-date on the latest advances in optical remote sensing, image processing technologies, and machine learning applications, and incorporate innovations into pipeline development. Documentation Reporting: Maintain thorough documentation of the pipeline architecture, algorithms, processes, and development timelines, and report progress to key stakeholders. Qualifications: Advanced degree (Master s or Ph.D.) in Remote Sensing, Geospatial Science, Electrical Engineering, Computer Science, or a related field. 8+ years of experience in satellite image processing, remote sensing, or related fields, focusing on optical sensor data. Must-Have: Experience designing and optimizing image processing pipelines for satellite imagery, particularly optical sensors (e.g., multispectral, hyperspectral). Proficiency in image processing and computer vision algorithms (e.g., image correction, enhancement, feature extraction). Expertise in programming skills like Python, C++, or MATLAB, with experience using image processing libraries (e.g., OpenCV, GDAL, scikit-image). In-depth understanding of satellite optical sensors (e.g., Landsat, Sentinel-2, WorldView) and the processing challenges associated with their data. Experience with cloud-based processing platforms (e.g., AWS, Google Cloud, Microsoft Azure) and distributed computing for large-scale data. Experience in leading engineering teams and managing complex technical projects. Familiarity with geospatial data formats and tools (e.g., GeoTIFF, HDF, QGIS, ArcGIS). Understanding of machine learning/deep learning techniques for image analysis (e.g., segmentation, classification, object detection). Good to Have: Expertise in atmospheric correction models and radiometric calibration techniques. Experience working with hyperspectral data and advanced spectral analysis techniques. Prior experience with Synthetic Aperture Radar (SAR) processing or integrating optical and radar data. Familiarity with international satellite data sources (e.g., MODIS, Pleiades, SPOT) and commercial data providers. Contributions to open-source remote sensing or image processing projects. Knowledge of high-performance computing (HPC) environments or GPU-accelerated computing for image processing tasks.

Seeking an Optomechanical Engineer to design, develop, and optimize mechanical configurations and interfaces for advanced optical payloads, collaborating with cross-functional teams to create and test innovative payload systems for Earth observation in Low Earth Orbit. Role and Responsibilities: As an Optomechanical engineer at KaleidEO, you will be designing, developing, and optimizing mechanical configurations and interfaces for complex optical payloads to be used for earth observation. It will require a close working relationship with optical engineers, satellite/payload system engineers, and other stakeholders to design, build, and test new complex payload systems for use in Low Earth Orbit. Work together with the satellite engineering team and the payload team to define opto mechanical requirements for payloads based on mission objectives and requirements derived from the system level. Manage mechanical work packages, producing schedules, resource estimates, and design development plans. Design opto-mechanical systems using appropriate tools from initial design concept to detailed final design. Perform FEA of mechanical systems oriented to determine frequency response, mechanical stresses, and deformations due to dynamic forces and loads, including thermal load cases. Drive and maintain the mechanical alignment budget at the system level. Derive build and test procedures for the payload along with the optical designer and AIT engineers/partners. Derive calibration procedures for the assembly. Research and select COTS/custom materials and parts appropriate for the design. Create and manage payload-level BoMs. Review possible layouts/orientations to optimize design elements. Design, assemble, and test mechanical parts including ground support equipment for lab testing on imager prototypes and flight models. Produce/manage the production of manufacturing drawings to enable the designs to be manufactured and support manufacturing processes. Create detailed build information and payload interface control documents. Maintain a design log, summarising each step in the design, and development process. Present in design reviews. Work with cross-functional global teams with external stakeholders. Qualifications Bachelor s in mechanical engineering, masters preferred or closely related subject. Work experience of 5 years in opto-mechanical systems. Must haves: Experience with designing precision opto-mechanical systems with a strong understanding of optical metrology and optical testing methods. Proven experience working with CAD (Solidworks), generating detailed tolerance mechanical fabrication drawings. Experience in the design of electromechanical mechanisms, precision mechanics, and/or precision motion control is desirable. Demonstrated experience in performing FEA - model simplification, simulation, and analysis. Specifically for optical-structural performance for static deformations, modal analysis, and thermal deformation. Basic understanding of multiple domains of satellite engineering, such as space systems, sensors, in-orbit operations, and the effect of thermomechanical distortions on image quality. Experience designing for high-reliability space environments- designing for launch survivability, vacuum, and on-orbit thermal conditions (STOP). Knowledge and experience in electro-optical payload design. Familiarity with Ansys is a plus. Experience with the design and fabrication of glass / composite / metallic / ceramic assemblies, epoxies, mechanisms, and electrical components in the context of opto-mechanical systems. Basic knowledge of optical design. Designing, analyzing, modeling, and simulating heat transfer and thermal management solutions. Excellent analytical, problem-solving, verbal, and written communication skills. Benefits Medical Health Cover for you and your family including unlimited online doctor consultations. Access to mental health experts for you and your family. Dedicated allowances for learning and skill development. Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves. Twice a year appraisal.

As an optical design engineer at KaleidEO, you will be designing, developing, and optimizing the optical design configuration for complex optical payloads to be used for earth observation. It will require a close working relationship with optomechanical and optoelectronic engineers, satellite/payload system engineers, and other stakeholders to design and build new complex payload systems suitable for launch and the Low Earth Orbit (LEO) environments. Roles Responsibilities: To work together with the satellite engineering and payload teams to define optical requirements for the payload based on mission objectives and requirements derived from a system level. To manage mechanical work packages, producing schedules, resource estimates, and design development plans. To conduct optical design and analysis utilizing suitable tools like Zemax, progressing from the initial design concept through to detailed final design, manufacturing, system integration, and verification. This encompasses generating build files and conducting non-compliance analysis. To provide support to opto-mechanical and electronics engineers to realize custom opto-mechanical test equipment. Support the production of manufacturing drawings to enable designs to be manufactured and support manufacturing processes. Proactively provide support to project teams on optical design, analysis, and build throughout the project lifecycle. Documentation and maintaining a log of requirements, design reports, alignment and testing requirements, and design reviews. Provide review and feedback for optical design and analysis, balancing technical requirements with programmatic and budget constraints. Support, and contribute towards the preparation of design proposals. Collaborate externally with the satellite team and payload partners and vendors to drive the design to development and testing. Qualification Masters in Optical Engineering or PhD in Optical systems design or related field. Work experience of 5 years in optical design for electro-optical systems, analysis, tolerancing, and integration. Must have Experience with designing precision optical systems with a strong understanding of optical metrology and optical testing methods. Experience in stray light analysis and mitigation. Proficiency in Zemax optical design software tools, and familiarity with CAD tools (Solidworks). Knowledge of optical materials, coatings, and manufacturing processes. Experience in managing optical element manufacturers to trade off various optical tolerances to achieve the desired as built performance within timescale and budget. Good to have Basic understanding of multiple domains. Such as satellite systems, in-orbit operations, sensors, and the effect of the optical design on data quality. Experience in optical design against thermal loads and radiation environments. Experience working on designs for an Earth observation payload. Experience with end-to-end MTF testing of payloads. Experience in radiometric calibration of payloads on the ground and in orbit. Benefits Medical Health Cover for you and your family including unlimited online doctor consultations. Access to mental health experts for you and your family. Dedicated allowances for learning and skill development. Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves. Twice a year appraisal.

We are looking for a Geospatial Analyst, for the data generation team. The applicant will work with various datasets like satellite imageries, boundaries, weather data, etc. The applicant is expected to undertake the research and operational works as and when required. If you are interested in working in an environment that focuses on the impact on society, driven by cutting-edge technology, and where you will be free to work on innovative ideas and be creative with no hierarchies, SatSure is the place for you. Roles and Responsibilities: Operations Processing satellite imagery and developing insights out of them. Run and develop models for developing insights. Feature identification and classification from satellite images. Prepare reports and maps Handle and support the client deliveries Research The applicants are expected to carry out the required research for the operational works. Bring their experience in developing newer data products or optimizing existing models. Creation of software-based and/or programming-based models for the semi or complete automation of certain processes. Must-have: The ideal candidate would be holding a degree in the Geospatial/Geomatics/Remote Sensing/ GIS (or related) field with 4 years above of working experience in Geospatial projects. Must have worked extensively with Raster data and satellite imageries. Must have a great understanding of image classification and expert knowledge of the concepts of Remote Sensing. An understanding of agricultural remote sensing is desired. Hands-on knowledge of QGIS, Erdas Imagine, Arc GIS, and other Geospatial software Good understanding of programming and automation logic Hands-on experience with the Google Earth Engine and Python programming is an added advantage. Excellent communication skills, team player, and able to guide and lead a team if required. Should be able to work independently and in a team environment. Understanding Geo statistics is an added advantage. Must know Excel and PowerPoint. Benefits: Medical Health Cover for you and your family including unlimited online doctor consultations Access to mental health experts for you and your family Dedicated allowances for learning and skill development Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves Twice a year appraisal

We are looking for a Data Science Manager to lead a team in developing and scaling machine learning solutions for utilities and infrastructure. The role involves product development, stakeholder collaboration, team building, and delivering innovative, scalable DS solutions. Roles: As a Data Science Manager , you will be pivotal in developing advanced deep learning and computer vision-based solutions for agriculture, infrastructure, and climate action. You will lead a high-performing team of data scientists, ML researchers, and geospatial experts, collaborating with cross-functional teams to address unique agricultural challenges such as crop classification, yield estimation, and sustainability improvements. Your work will directly support smallholder farmers by leveraging geospatial data and ML/DL techniques to facilitate access to agricultural financing. Key Responsibilities: Deep Learning Computer Vision Solutions: Lead the development of deep learning-based computer vision algorithms to solve real-world applications in agriculture, infrastructure, and climate change. Scalability Robustness: Apply strong problem-solving skills to develop quick POCs and scalable and robust deep-learning solutions that effectively handle various corner cases. Mentorship Leadership: Lead and mentor a high-performing team of data scientists and engineers, fostering a collaborative, self-motivated environment. People management experience is a plus but not mandatory. Cross-functional Collaboration: Collaborate closely with stakeholders to align data science strategies with business objectives, helping to prioritize efforts and communicate progress on the long-term technology roadmap. Qualification: Advanced degree (MSc/MTech/ME/PhD) in Computer Science, Engineering, Remote Sensing, Geospatial Science, or related fields preferred. 5+ years of experience in DL/ML/Data Science, with a strong focus on computer vision. 3+ years of tech lead experience in developing and scaling deep learning-based solutions. Must-Haves: Strong foundation in computer vision and deep learning, with hands-on experience building and deploying algorithms for applications like vision foundational models along with supervised and unsupervised image classification, object detection, and segmentation. Proficiency in ML frameworks like TensorFlow or PyTorch. Expertise in Python and solid statistical knowledge. Proven ability to deliver both POCs and production-level solutions. Experience with remote sensing, geospatial data, or agriculture domain expertise is a plus but not mandatory. Competencies: Fantastic communication skills that enable you to work cross-functionally with business folks, product managers, and technical experts, building solid relationships with a diverse set of stakeholders. The ability to convey complex solutions to a less technical person. Vast analytical problem-solving capabilities experience. Bias for action.

Seeking a Company Secretary to serve as the main point of contact for the board, shareholders, and regulatory bodies regarding governance matters. This role will involve coordinating board meetings, ensuring compliance with legal and regulatory obligations, preparing and filing legal documents, maintaining corporate records, providing guidance on best practices, and handling shareholder communications and inquiries. Role: Serving as the primary point of contact for the board of directors, shareholders and regulatory authorities on corporate governance matters. Coordinating and facilitating board meetings, including preparing agendas, board packs and minutes. Ensuring compliance with statutory and regulatory requirements, including filing annual returns, disclosures and resolutions. Drafting and filing statutory documents, such as annual returns, board resolutions and meeting minutes. Maintaining corporate records, registers and statutory books as per the applicable laws and regulations. Advising management and board members on corporate governance best practices, legal requirements and compliance issues. Managing shareholder communications, including organising annual general meetings and handling shareholder inquiries. Guiding corporate governance best practices and implementing governance frameworks. Responsibilities: Prepare and distribute notices, agendas and supporting materials for board and committee meetings. Attend board meetings, record minutes and maintain accurate records of board proceedings. Assist in the preparation and filing of statutory documents with regulatory authorities. Monitor changes in company law and ensure compliance with corporate governance guidelines, listing rules and other regulatory requirements. Provide guidance and support to directors and senior management on corporate governance matters. Liaising with regulatory authorities, such as the Registrar of Companies (ROC), Reserve Bank of India (RBI), Registrars and Transfer Agents (RTA) and Depository Participants, Offices of the Sub-Registrars and the Securities and Exchange Board of India (SEBI). Communicate with external advisors, legal counsel and auditors on corporate governance and compliance issues. Conduct corporate governance reviews and assessments to identify areas for improvement. Stay updated on changes to corporate law, regulations and governance practices. Qualifications: Bachelor s degree or Masters degree in in Business Law, Business Administration , Corporate Governance . Qualified Company Secretary (ACS) with a membership of the Institute of Company Secretaries of India (ICSI). 5+ years of experience as a company secretary or a similar role in corporate governance and compliance. Must haves: Strong knowledge of corporate law, regulations and governance principles. Familiarity with corporate governance codes and guidelines, such as the Companies Act and SEBI regulations. Experience with corporate secretarial software and tools for document management and compliance tracking. Excellent communication and interpersonal skills, with the ability to interact effectively with senior executives and board members. Ability to work independently and handle confidential information with discretion. Attention to detail and the ability to work effectively under pressure in a fast-paced environment. Good to have: Familiarity with corporate governance software and systems. Certification in corporate governance or related areas. Experience in handling regulatory filings and compliance audits. Legal background or additional qualifications in law. Multilingual proficiency for effective communication with diverse stakeholders. Benefits Medical Health Cover for you and your family including unlimited online doctor consultations. Access to mental health experts for you and your family. Dedicated allowances for learning and skill development. Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves. Twice a year appraisal.

Elevate Your Career with SatSure! Unleash your potential in our Internship Program - where innovation meets opportunity! Join us to dive into cutting-edge projects, harness satellite data analytics, and collaborate with industry pioneers. As a SatSure intern, you'll gain hands-on experience in geospatial intelligence, shaping your journey in Earth observation and machine learning. Whether you're a tech enthusiast, data wizard, or business maestro, SatSure is your launchpad to success. Don't miss the chance to be part of the satellite revolution. Apply now and soar to new heights with SatSure!

Seeking an experienced machine learning professional with expertise in deep learning and statistical modeling for earth observation data applications. Key responsibilities include model development for segmentation, object classification, crop monitoring, and disaster management. Proficiency in Python, ML frameworks (TensorFlow, PyTorch), and strong research skills are essential. Advanced degree required. About SatSure: SatSure is a deep tech, decision Intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action creating an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all. Join us to be at the forefront of building a deep tech company from India that solves problems for the globe. Roles and Responsibilities: Implementing deep-learning models and/or frameworks that can be used in scene/semantic/panoptic segmentation, object classification, synthetic data generation using earth observation data in agriculture and infrastructure domain. Design and implement performance evaluations frameworks for incremental and step function improvements. Exploring and developing new methods for improving detection/classification performance Building model monitoring and active learning pipelines to address the target and data shifts happening in the domain. Building models to solve open research problems on LULC, crop classification, change monitoring and disaster management etc from earth observations. Define and implement performance metrics for the research problems and be very methodical / organized with experiment management and performance evaluations. Qualifications: Master s degree or PhD in Engineering, Statistics, Mathematics or Computer Science, Machine Learning / Deep Learning domains 5-8 years of experience in machine learning based data product research and development in addition to relevant educational background in the field of Computer Science, Engineering, Machine Learning etc. Must-Haves: Experience with tools/frameworks from theoretical and practical aspects of computer science and ML/DL. This includes probability, statistics, learning theory etc. Prior experience working with statistical modeling techniques and deep learning fundamentals, such as CNN, RNN, Transformers, GANs etc include sequence networks eg LSTMs Proficiency in any programming language, preferably Python, with hands-on experience in using ML frameworks such as Tensorflow/Pytorch, Pytorch Lightning, MxNet etc Ability to design, develop, optimize for machine learning/ deep learning models Knowledge of application of ML for earth observation data, is good to have Appetite for research and implementing innovative solutions for complex problems Benefits : Medical Health Cover for you and your family including unlimited online doctor consultations Access to mental health experts for you and your family Dedicated allowances for learning and skill development Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves Twice a year appraisal Interview Process: Intro call Assessment Presentation Interview rounds (ideally up to 3-4 rounds) Culture Round / HR round