139 Lightroom jobs in India

looking for Creative and new talented photographers and editors to work on wedding projects

Job Type: Full-time

Pay: ₹15, ₹25,000.00 per month

Experience:

• total work: 2 years (Preferred)

Work Location: In person

Work with the brightest minds, including ex-ISRO scientists and global space industry experts, at one of the select few companies in the country pioneering cutting edge EO payloads.

Seeking an Image Processing Scientist to contribute to the development of high-performance image processing pipelines for satellite optical sensors, utilizing advanced algorithms to drive real-time analysis.

About KaleidEO

KaleidEO, a subsidiary of SatSure, is an upstream leader in Earth Observation, building a full-stack company from India. As an 'analytics-first' payload innovator, we specialize in building next-gen, high-resolution, multispectral payloads with edge computing and wide coverage capabilities.

Rooted in SatSure’s legacy of building applications across sectors like Utilities, Agriculture, Aviation, BFSI, and Climate Action, we also provide end-to-end EO solutions, from payload development and launch to mission operations and data analytics.

At KaleidEO, we are shaping the future of Earth Observation and putting Indian space tech on the global map. If you thrive on challenges and are passionate about pushing the boundaries of image processing, this is your calling!

Roles and Responsibilities

• To assist in developing and optimizing algorithms for key image processing stages, including radiometric and geometric correction, atmospheric correction, image enhancement, mosaicking, and orthorectification.

• To assist in designing and implementing efficient image processing pipelines for satellite optical sensor data.

• To 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).

• To assist in developing solutions for cloud-based processing to handle large-scale satellite data efficiently.

• To ensure the pipeline is automated, efficient, and scalable to handle high-volume satellite data processing tasks.

• To work closely with data scientists, software engineers, and GIS specialists to integrate image processing pipelines into broader systems.

• To participate in quality assurance practices to ensure high-quality image products.
• To maintain thorough documentation of the pipeline architecture, algorithms, processes, and development timelines, and report progress to key stakeholders.

Qualifications:

• Bachelors or Master’s degree in Remote Sensing, Geospatial Science, Physics, Electrical Engineering, Computer Science, or a related field.
• Preferably 2-3 years of industrial experience in satellite/drone image processing focusing on optical sensor data.

Must-Have:

• Proficiency in image processing and computer vision algorithms.
• Strong programming skills in Python, with experience using libraries like OpenCV, GDAL.
• Understanding of satellite optical sensors and their processing challenges.

Good to Have:

• Experience with machine learning techniques for image analysis.
• Familiarity with geospatial data formats and tools (e.g., GeoTIFF, QGIS, ArcGIS).

Benefits

• Medical Health Cover for you and your family including unlimited online doctor consultations.
• We believe family comes first. That’s why we offer Maternity, Paternity, Marriage and Bereavement Leave, so you can be there when it matters most.
• We ensure every member of the team gets an opportunity to participate at international events and conferences.
• Access to mental health experts for you and your family.
• Dedicated allowances for learning and skill development.
• Twice a year appraisal.

Interview Process:

• Coding Round
• Introductory call
• Panel Interview rounds ( 2 rounds)
• Culture Round / HR round

No of positions: 2

Expected Month of Joining: May 2025

Work with the brightest minds, including ex-ISRO scientists and global space industry experts, at one of the select few companies in the country pioneering cutting edge EO payloads.

Seeking an Image Processing Scientist to contribute to the development of high-performance image processing pipelines for satellite optical sensors, utilizing advanced algorithms to drive real-time analysis.

About KaleidEO

KaleidEO, a subsidiary of SatSure, is an upstream leader in Earth Observation, building a full-stack company from India. As an 'analytics-first' payload innovator, we specialize in building next-gen, high-resolution, multispectral payloads with edge computing and wide coverage capabilities.

Rooted in SatSure's legacy of building applications across sectors like Utilities, Agriculture, Aviation, BFSI, and Climate Action, we also provide end-to-end EO solutions, from payload development and launch to mission operations and data analytics.

At KaleidEO, we are shaping the future of Earth Observation and putting Indian space tech on the global map. If you thrive on challenges and are passionate about pushing the boundaries of image processing, this is your calling

Roles and Responsibilities

• To assist in developing and optimizing algorithms for key image processing stages, including radiometric and geometric correction, atmospheric correction, image enhancement, mosaicking, and orthorectification.

• To assist in designing and implementing efficient image processing pipelines for satellite optical sensor data.

• To 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).

• To assist in developing solutions for cloud-based processing to handle large-scale satellite data efficiently.

• To ensure the pipeline is automated, efficient, and scalable to handle high-volume satellite data processing tasks.

• To work closely with data scientists, software engineers, and GIS specialists to integrate image processing pipelines into broader systems.

• To participate in quality assurance practices to ensure high-quality image products.

• To maintain thorough documentation of the pipeline architecture, algorithms, processes, and development timelines, and report progress to key stakeholders.

Qualifications:

• Bachelors or Master's degree in Remote Sensing, Geospatial Science, Physics, Electrical Engineering, Computer Science, or a related field.
• Preferably 2-3 years of industrial experience in satellite/drone image processing focusing on optical sensor data.

Must-Have:

• Proficiency in image processing and computer vision algorithms.
• Strong programming skills in Python, with experience using libraries like OpenCV, GDAL.
• Understanding of satellite optical sensors and their processing challenges.

Good to Have:

• Experience with machine learning techniques for image analysis.
• Familiarity with geospatial data formats and tools (e.g., GeoTIFF, QGIS, ArcGIS).

Benefits

• Medical Health Cover for you and your family including unlimited online doctor consultations.
• We believe family comes first. That's why we offer Maternity, Paternity, Marriage and Bereavement Leave, so you can be there when it matters most.
• We ensure every member of the team gets an opportunity to participate at international events and conferences.
• Access to mental health experts for you and your family.
• Dedicated allowances for learning and skill development.
• Twice a year appraisal.

Interview Process:

• Coding Round
• Introductory call
• Panel Interview rounds ( 2 rounds)
• Culture Round / HR round

No of positions: 2

Expected Month of Joining: May 2025

Home Team

Image Science

Job posted on

Sep 12, 2025

Employee Type

Full-Time

Experience range (Years)

4 years - 7 years

Role: Image Processing Scientist - GeometricEmployment Type: Full Time Educational Qualification: Ph.D. or M.S. in Photogrammetry, Remote Sensing, Geodesy, Physics, Computer Vision, or related field and hands‑on experience in geometric calibration and orthorectification of satellite or aerial imagery

Work Experience: 4+ yrs

Role Description:

We are seeking a Image Processing Scientist - Geometric to lead the design, development, and validation of geometric calibration and orthorectification pipelines for high‑resolution and hyperspectral satellite imagery. You will be responsible for defining and implementing robust camera models, attitude reconstruction algorithms, and metadata correction techniques to ensure sub‑pixel geolocation accuracy across single‑ and multi‑detector focal plane arrays.

Responsibilities & Duties:

• Geometric Calibration & Orthorectification

• Develop and maintain Python‑based libraries for camera intrinsics/extrinsics estimation, image‑to‑ground and ground‑to‑image transforms

• Implement orthorectification workflows, integrating DEM sources (e.g., Copernicus) and projection handling

• Design algorithms to reconstruct and correct pushbroom metadata (e.g., attitude, first_line_time, ephemeris) for congruent multi‑band alignment

• Sensor Characterization & Accuracy Assessment

• Calibrate focal‑plane arrays on orbiting satellites (single‑detector and multi‑detector architectures) to extract focal length, optical distortion, and mounting offsets

• Quantify and monitor pointing and geolocation errors (CE90, LE90) using GCPs, truth ortho references (e.g., Sentinel‑2), and scatter‑plot analysis

• Lead periodic assessments of geolocation performance and drive corrective action in attitude/orbit determination subsystems

• Pipeline Development & Automation

• Architect end‑to‑end processing pipelines for pushbroom sensor data: metadata ingestion, NUC application, orthorectification, packaging as GeoTIFFs

• Integrate external reference data services (e.g., Sentinel‑2 archives) for truth comparisons and validation

• Collaborate with DevOps to containerize and deploy processing services at scale

• Algorithm Research & Innovation

• Invent and prototype new registration techniques (e.g., multi‑channel registration, shear‑based band alignment, scale correction)

• Evaluate state‑of‑the‑art photogrammetric and computer‑vision methods to enhance geometric fidelity

• Publish and present technical findings at industry conferences

• Cross‑Functional Collaboration & Mentorship

• Work closely with radiometric scientists, data engineers, and mission planners to align geometric requirements with end‑user products

• Mentor junior engineers in best practices for camera modeling, metadata handling, and quality assessment
• Contribute to technical design reviews, documentation, and training materials

Required Skills:

• Ph.D. or M.S. in Photogrammetry, Remote Sensing, Geodesy, Physics, Computer Vision, or related field and hands‑on experience in geometric calibration and orthorectification of satellite or aerial imagery
• Proficient in Python (experience with NumPy, SciPy, Rasterio/GDAL)
• Deep understanding of camera models (pinhole, pushbroom), sensor geometry, and projection systems (UTM, WGS84, custom CRS)
• Proven track record of implementing attitude reconstruction algorithms and metadata correction workflows
• Expertise in geolocation accuracy metrics (CE90, GCP workflows) and DEM integration for terrain correction
• Strong analytical and problem‑solving skills, with ability to validate complex algorithms quantitatively

Preferred Skills:

• Experience with hyperspectral sensor architectures and multi‑detector focal plane arrays
• Familiarity with CEOS/OGC standards, RadCalNet sites, and ARD compliance requirements
• Background in developing automated, containerized processing pipelines (Docker, Kubernetes)
• History of conference presentations or peer‑reviewed publications in photogrammetry
• Excellent communication skills and demonstrated ability to mentor cross‑disciplinary teams

Candidate Acumen:

A strong desire to work in an unstructured, high-growth, fast-paced start-up environment

Benefits:

• Health insurance coverage
• Unlimited leaves & flexible working hours
• Role-based remote work and work-from-home benefit
• Relocation assistance
• Professional Mental Wellness services
• Creche facility for primary caregivers (limited to India)
• Employee Stock Options for all hires

About Pixxel

Pixxel is a space data company and spacecraft manufacturer redefining Earth observation with hyperspectral imaging. The company's first three commercial hyperspectral satellites—Fireflies—deliver imagery at 5-meter resolution and 135+ spectral bands, providing 50x richer detail than traditional Earth observation systems and unlocking insights across agriculture, climate, energy, environment, and more.

Once fully deployed, Pixxel's constellation of 18-24 satellites will capture imagery across up to 250 bands in VNIR and SWIR ranges, with a 40 km swath and daily global revisit capability. Pixxel's most unique strength is its full-stack approach, integrating every layer of the value chain from satellite hardware and manufacturing to AI-powered analytics.

Pixxel's satellite constellation is complemented by Aurora, its in-house Earth Observation Studio that simplifies satellite imagery analysis and democratises remote sensing for all. Designed to make hyperspectral data more accessible, Aurora by Pixxel combines high-frequency imagery with AI-powered tools to generate actionable insights, even for users without technical backgrounds. The third pillar of Pixxel's ecosystem is its in-house satellite manufacturing capability. Beyond building its own spacecraft, Pixxel also provides satellite systems and subsystems to other organisations. This dual capacity sets it apart in a sector where most companies focus on either payload design or data operations, but not both.

Pixxel's team is young but deeply mission-aligned, with a culture rooted in curiosity, speed, and long-term thinking. As the company grows its constellation and expands Aurora, the focus remains on making space-based insights practical, scalable, and genuinely helpful so that the health of the planet becomes measurable and action becomes possible.

Pixxel was the only Indian startup selected for the Techstars Starburst Space Accelerator in Los Angeles and has been recognised in TIME's Best Inventions of 2023, Fast Company's Most Innovative Companies, and Via Satellite's Top Innovators list.

For more information, see our Careers page or follow Pixxel on LinkedIn and X/Twitter.

Culture

Pixxel is an organization where we enable our employees to work on world-changing problems that they are passionate about, and a place where they can be their best selves day in and day out while ensuring they have fun every day.

Central to our employee-first ethos is a commitment to ensuring that every team member feels valued and heard. We nurture a healthy and supportive work environment where we prioritise well-being and growth in all aspects of life

Department

Image Science

Job posted on

Sep 26, 2025

Employment type

Full-Time

Role: Radiometric Scientist

Employment Type: Full Time

Educational Qualification: PhD or Master's degree in Remote Sensing, Geophysics, Physics, Atmospheric Science, or a closely related field.

Work Experience: 3-5 yrs

Role Description:

The ideal candidate will be responsible for ensuring the radiometric integrity of satellite imagery, including calibration, validation, and correction processes, contributing to the quality and accuracy of our hyperspectral data products. This role will focus on advancing the team's capabilities in radiometric processing to support cutting-edge research and operational applications in remote sensing.

Responsibilities & Duties:

• Radiometric Calibration: Develop and implement algorithms for radiometric calibration of hyperspectral satellite data.
• Data Quality Assurance: Conduct rigorous quality control and quality assurance (QA/QC) of radiometric data, ensuring compliance with industry standards and scientific requirements.
• Radiometric Correction: Apply advanced radiometric correction techniques (e.g., atmospheric correction, sensor calibration, and vicarious calibration) to improve data accuracy.
• Research & Innovation: Explore and contribute to novel techniques for radiometric calibration, error modeling, and data correction in the context of hyperspectral data.
• Collaboration: Work closely with the geometric team to integrate radiometric corrections with geometric processing workflows for enhanced satellite data products.
• Documentation & Reporting: Prepare comprehensive reports, technical documentation, and scientific publications to communicate research findings, methodologies, and best practices.
• Stakeholder Engagement: Collaborate with internal and external stakeholders, including mission teams, academic researchers, and industry experts, to advance radiometric research and improve data processing pipelines.

Required Qualification:

• Education: PhD or Master's degree in Remote Sensing, Geophysics, Physics, Atmospheric Science, or a closely related field.
• Experience: At least 3-5 years of experience in radiometric calibration, atmospheric correction, and processing of satellite-based hyperspectral data.
• Technical Expertise:
• Strong knowledge of radiometric correction techniques for remote sensing data.
• Proficiency in optical / hyperspectral image processing and data correction methodologies (e.g., flat-fielding, gain/offset corrections, vicarious calibration).
• Familiarity with satellite-based hyperspectral sensor technologies and their calibration needs.
• Proficiency in programming languages (e.g., Python, MATLAB) and tools commonly used in remote sensing data analysis.
• Analytical Skills: Ability to analyze complex radiometric data and troubleshoot issues with calibration and correction methods.
• Communication Skills: Strong written and verbal communication skills to collaborate with cross-functional teams and document research.

Desired Skills:

• Experience working with large-scale satellite data sets and data processing pipelines.
• Familiarity with remote sensing data standards, such as ARD (Analysis Ready Data) and Radiometric Calibration Network (RadCalNet).
• Knowledge of machine learning techniques for data processing and anomaly detection is a plus.
• Prior experience in publishing research findings in peer-reviewed journals or conferences is desirable.

Candidate Acumen:

A strong desire to work in an unstructured, high-growth, fast-paced start-up environment

Benefits:

• Health insurance coverage
• Unlimited leaves & flexible working hours
• Role-based remote work and work-from-home benefit
• Relocation assistance
• Professional Mental Wellness services
• Creche facility for primary caregivers (limited to India)
• Employee Stock Options for all hires

About Pixxel

Pixxel is a space data company and spacecraft manufacturer redefining Earth observation with hyperspectral imaging. The company's first three commercial hyperspectral satellites—Fireflies—deliver imagery at 5-meter resolution and 135+ spectral bands, providing 50x richer detail than traditional Earth observation systems and unlocking insights across agriculture, climate, energy, environment, and more.

Once fully deployed, Pixxel's constellation of 18-24 satellites will capture imagery across up to 250 bands in VNIR and SWIR ranges, with a 40 km swath and daily global revisit capability. Pixxel's most unique strength is its full-stack approach, integrating every layer of the value chain from satellite hardware and manufacturing to AI-powered analytics.

Pixxel's satellite constellation is complemented by Aurora, its in-house Earth Observation Studio that simplifies satellite imagery analysis and democratises remote sensing for all. Designed to make hyperspectral data more accessible, Aurora by Pixxel combines high-frequency imagery with AI-powered tools to generate actionable insights, even for users without technical backgrounds. The third pillar of Pixxel's ecosystem is its in-house satellite manufacturing capability. Beyond building its own spacecraft, Pixxel also provides satellite systems and subsystems to other organisations. This dual capacity sets it apart in a sector where most companies focus on either payload design or data operations, but not both.

Pixxel's team is young but deeply mission-aligned, with a culture rooted in curiosity, speed, and long-term thinking. As the company grows its constellation and expands Aurora, the focus remains on making space-based insights practical, scalable, and genuinely helpful so that the health of the planet becomes measurable and action becomes possible.

Pixxel was the only Indian startup selected for the Techstars Starburst Space Accelerator in Los Angeles and has been recognised in TIME's Best Inventions of 2023, Fast Company's Most Innovative Companies, and Via Satellite's Top Innovators list.

For more information, see our Careers page or follow Pixxel on LinkedIn and X/Twitter.

Culture

Pixxel is an organization where we enable our employees to work on world-changing problems that they are passionate about, and a place where they can be their best selves day in and day out while ensuring they have fun every day.

Central to our employee-first ethos is a commitment to ensuring that every team member feels valued and heard. We nurture a healthy and supportive work environment where we prioritise well-being and growth in all aspects of life

• As this Internship requires on-site presence, we will exclusively consider applicants residing in Pondicherry .
• This job is open to freshers with computer skills

Role & Responsibilities

• Perform image quality control to ensure compliance with set standards.
• Execute image cropping tasks with accuracy and consistency.
• Handle digital files with attention to detail.

Requirements

• Basic computer skills and familiarity with handling image files.
• Strong attention to detail and commitment to accuracy.
• Availability to work on-site throughout the internship period.

Compensation

• Monthly stipend: ₹10,000

TO APPLY

Please send the following informations at : (Ref. Indeed_operator)

• Resume
• Current location

ABOUT PIXIRUS

Pixirus is part of a private French group of companies with more than 10 years of experience, specializing in Digital Transition, metadata and data processing.

The company works with libraries, archives, museums, and large organizations to convert, create, manage, and distribute their content.

Pixirus leverages user-friendly and collaborative cloud solutions to process content and significantly improve workflow management and accuracy, and reduce operational costs for customers.

Pixirus creates interactive content for elearning courses that amplify learning through smart storyboarding, 3D simulation and gamification.

Pixirus provides creative and innovative content creation, conversion, and management solutions to customers such as the United Nations, NATO, and the French national Library, BnF – for its digital library Gallica.

COMPANY CULTURE

For many years, Pixirus has fully integrated CSR (Corporate Social Responsibility) concerns into the company's strategy and purpose.

Pixirus' social policy is active, caring and recognizes the primary value of its employees.

The company's social and solidarity policy has developed a long-standing commitment to diversity (gender, ethnicity, cultural …) and inclusion (employment of people with disabilities) in the workplace.

Also, multiculturalism and open culture are parts of Pixirus' DNA: full openness to an ethnic and cultural diversity in its staff are one of Pixirus core values.

Pixirus culture is focused on individual growth and dedicated to the success of its employees: by offering leadership training and spreading "thinking outside the box" mentality within a multicultural environment, Pixirus will contribute to your career development.

Job Types: Fresher, Internship, Contractual / Temporary

Contract length: 2 months

Pay: From ₹10,000.00 per month

Work Location: In person

Work with the brightest minds, including ex-ISRO scientists and global space industry experts, at one of the select few companies in the country pioneering cutting edge EO payloads.

Seeking an Image Processing Scientist to contribute to the development of high-performance image processing pipelines for satellite optical sensors, utilizing advanced algorithms to drive real-time analysis.

About KaleidEO

KaleidEO, a subsidiary of SatSure, is an upstream leader in Earth Observation, building a full-stack company from India. As an 'analytics-first' payload innovator, we specialize in building next-gen, high-resolution, multispectral payloads with edge computing and wide coverage capabilities.

Rooted in SatSure’s legacy of building applications across sectors like Utilities, Agriculture, Aviation, BFSI, and Climate Action, we also provide end-to-end EO solutions, from payload development and launch to mission operations and data analytics.

At KaleidEO, we are shaping the future of Earth Observation and putting Indian space tech on the global map. If you thrive on challenges and are passionate about pushing the boundaries of image processing, this is your calling!

Roles and Responsibilities

• To assist in developing and optimizing algorithms for key image processing stages, including radiometric and geometric correction, atmospheric correction, image enhancement, mosaicking, and orthorectification.

• To assist in designing and implementing efficient image processing pipelines for satellite optical sensor data.

• To 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).

• To assist in developing solutions for cloud-based processing to handle large-scale satellite data efficiently.

• To ensure the pipeline is automated, efficient, and scalable to handle high-volume satellite data processing tasks.

• To work closely with data scientists, software engineers, and GIS specialists to integrate image processing pipelines into broader systems.

• To participate in quality assurance practices to ensure high-quality image products.
• To maintain thorough documentation of the pipeline architecture, algorithms, processes, and development timelines, and report progress to key stakeholders.

Qualifications:

• Bachelors or Master’s degree in Remote Sensing, Geospatial Science, Physics, Electrical Engineering, Computer Science, or a related field.
• Preferably 2-3 years of industrial experience in satellite/drone image processing focusing on optical sensor data.

Must-Have:

• Proficiency in image processing and computer vision algorithms.
• Strong programming skills in Python, with experience using libraries like OpenCV, GDAL.
• Understanding of satellite optical sensors and their processing challenges.

Good to Have:

• Experience with machine learning techniques for image analysis.
• Familiarity with geospatial data formats and tools (e.g., GeoTIFF, QGIS, ArcGIS).

Benefits

• Medical Health Cover for you and your family including unlimited online doctor consultations.
• We believe family comes first. That’s why we offer Maternity, Paternity, Marriage and Bereavement Leave, so you can be there when it matters most.
• We ensure every member of the team gets an opportunity to participate at international events and conferences.
• Access to mental health experts for you and your family.
• Dedicated allowances for learning and skill development.
• Twice a year appraisal.

Interview Process:

• Coding Round
• Introductory call
• Panel Interview rounds ( 2 rounds)
• Culture Round / HR round

No of positions: 2

Expected Month of Joining: May 2025