Forward Deployment Engineer - Imagery Analyst

Position: Imagery Analyst

Location: On-site with client, Delhi

Role Context:

The imagery analyst will work closely with end-users to operationalize imagery analytics

tools, process real-world datasets, and translate algorithmic outputs into actionable insights.

The role bridges technical execution, product feedback, and client engagement to help

shape future product features.

Key Responsibilities

• Execute multi-temporal image processing workflows using packaged

change-detection applications on client datasets.

• Conduct training sessions, develop quick-reference guides, and demonstrate

real-world use cases for customers.

• Interpret algorithm outputs (change masks, confidence scores) and create actionable

deliverables such as annotated maps, dashboards, and case studies.

• Identify and document edge cases, false positives/negatives, and usability

challenges; recommend workflow or UI enhancements for upcoming sprints.

• Work with software engineers to fine-tune configuration parameters and validate

performance improvements against QC baselines.

• Engage with client stakeholders to understand domain needs and translate them into

clear, actionable product feature briefs.

• Hands on experience on the software for report generation and briefing the customer

Requirements

Must-Have Skills

• 2-3 years of hands-on experience in SAR and multispectral satellite images
• Strong understanding of imagery data structures and analytical workflows
• Proficiency with QGIS/ArcGIS, and image processing softwares GDAL/Rasterio,

and basic geoprocessing pipelines

• Ability to communicate complex technical insights through clear visuals and concise

narratives

• Familiarity with YAML/JSON configurations, Git, and CLI-based toolchains for

iterative testing

• Excellent documentation and presentation discipline

Benefits

Nice-to-Have Skills

• Experience with optical + SAR data fusion, time-series analysis, or ML model

evaluation

• Exposure to React-based geospatial interfaces or participation in UX feedback cycles