fixed-term project engagement｜Lead GeoAI & Data Science Engineer

fixed-term project engagement｜Lead GeoAI & Data Science Engineer

仕事概要

[ ABOUT TENCHIJIN ]
Tenchijin Inc. is a Tokyo-headquartered space-tech company and JAXA (Japan Aerospace Exploration Agency) certified venture. Through its land-evaluation and analytics platform, Tenchijin COMPASS, the company fuses earth-observation satellite data, geospatial and environmental layers, IoT and ground-sensor feeds, and clients' operational data with proprietary AI to deliver multimodal analytics for utilities and infrastructure enterprises. Tenchijin's flagship water-infrastructure solution, KnoWaterleak, assesses pipeline deterioration and leak risk from space-derived insights and is used by a growing number of water utilities to prioritize inspection and investment, reduce non-revenue water, and extend asset life.

[ ABOUT THE PROJECT ]
The Global South Project is an 18-month initiative (November 2026 – April 2028) to design, build, and deploy a scalable, secure, AI-ready analytics platform tailored to utilities and infrastructure operators across Global South markets. The project adapts Tenchijin's satellite-data and GeoAI capabilities to regions facing aging or rapidly expanding infrastructure, constrained budgets, and limited field-inspection capacity — delivering risk assessment and decision-support tools that improve infrastructure management workflows. All positions are contract-based and fully remote, operating as one distributed, cross-border team with English as the working language.

[ ROLE SUMMARY ]
This role sits at the core of Tenchijin's value proposition. You will develop the GeoAI machine-learning models that turn fused satellite imagery, geospatial layers, IoT feeds, and utility operational data into actionable risk-assessment and recommendation outputs — the same class of technology behind Tenchijin's land-evaluation and water-infrastructure risk products, adapted and extended for Global South infrastructure challenges.

[ Reports To ]
Senior Cloud Architect / Director of Product Management
[ Project Language ]
English (professional working proficiency or higher required)

[ KEY RESPONSIBILITIES ]

• Design, train, validate, and deploy machine-learning models for infrastructure risk assessment and recommendations (e.g., asset deterioration risk, environmental stress factors, prioritization scoring) using multimodal inputs.
• Build geospatial feature-engineering pipelines that fuse satellite/earth-observation data (optical, SAR, thermal), terrain and environmental layers, IoT sensor streams, and client operational records.
• Establish the ML lifecycle: experiment tracking, model registry, evaluation frameworks, retraining pipelines, and monitoring for drift in production.
• Adapt models to data-sparse Global South contexts — transfer learning, handling incomplete asset records, and calibrating outputs against local ground truth.
• Collaborate with the Lead Backend Engineer to productionize models: batch scoring, low-latency serving, and integration into the analytics APIs.
• Define data-quality standards and validation for incoming geospatial and operational datasets.
• Communicate model behavior, accuracy, and limitations to product leadership and client stakeholders in clear, non-technical terms.
• Mentor engineers on geospatial data science practices and review analytical methodology across the project.

[ WHAT WE OFFER ]

• A central role in applying satellite data and AI to real infrastructure challenges, with measurable social and environmental impact in Global South markets.
• Fully remote, cross-border collaboration with senior specialists across cloud, GeoAI, product, and design.
• Competitive contractor compensation commensurate with experience and scope.
• Direct exposure to earth-observation technology, including data ecosystems built with Japan's space agency (JAXA).

Tenchijin Inc. is an equal-opportunity organization. We evaluate all applicants on qualifications and merit, without regard to nationality, race, religion, gender, age, or disability.
TENCHIJIN INC. · GLOBAL SOUTH PROJECT

必須スキル

[ ABOUT TENCHIJIN ]
Tenchijin Inc. is a Tokyo-headquartered space-tech company and JAXA (Japan Aerospace Exploration Agency) certified venture. Through its land-evaluation and analytics platform, Tenchijin COMPASS, the company fuses earth-observation satellite data, geospatial and environmental layers, IoT and ground-sensor feeds, and clients' operational data with proprietary AI to deliver multimodal analytics for utilities and infrastructure enterprises. Tenchijin's flagship water-infrastructure solution, KnoWaterleak, assesses pipeline deterioration and leak risk from space-derived insights and is used by a growing number of water utilities to prioritize inspection and investment, reduce non-revenue water, and extend asset life.

[ ABOUT THE PROJECT ]
The Global South Project is an 18-month initiative (November 2026 – April 2028) to design, build, and deploy a scalable, secure, AI-ready analytics platform tailored to utilities and infrastructure operators across Global South markets. The project adapts Tenchijin's satellite-data and GeoAI capabilities to regions facing aging or rapidly expanding infrastructure, constrained budgets, and limited field-inspection capacity — delivering risk assessment and decision-support tools that improve infrastructure management workflows. All positions are contract-based and fully remote, operating as one distributed, cross-border team with English as the working language.

[ ROLE SUMMARY ]
This role sits at the core of Tenchijin's value proposition. You will develop the GeoAI machine-learning models that turn fused satellite imagery, geospatial layers, IoT feeds, and utility operational data into actionable risk-assessment and recommendation outputs — the same class of technology behind Tenchijin's land-evaluation and water-infrastructure risk products, adapted and extended for Global South infrastructure challenges.

[ Reports To ]
Senior Cloud Architect / Director of Product Management
[ Project Language ]
English (professional working proficiency or higher required)

[ KEY RESPONSIBILITIES ]

• Design, train, validate, and deploy machine-learning models for infrastructure risk assessment and recommendations (e.g., asset deterioration risk, environmental stress factors, prioritization scoring) using multimodal inputs.
• Build geospatial feature-engineering pipelines that fuse satellite/earth-observation data (optical, SAR, thermal), terrain and environmental layers, IoT sensor streams, and client operational records.
• Establish the ML lifecycle: experiment tracking, model registry, evaluation frameworks, retraining pipelines, and monitoring for drift in production.
• Adapt models to data-sparse Global South contexts — transfer learning, handling incomplete asset records, and calibrating outputs against local ground truth.
• Collaborate with the Lead Backend Engineer to productionize models: batch scoring, low-latency serving, and integration into the analytics APIs.
• Define data-quality standards and validation for incoming geospatial and operational datasets.
• Communicate model behavior, accuracy, and limitations to product leadership and client stakeholders in clear, non-technical terms.
• Mentor engineers on geospatial data science practices and review analytical methodology across the project.

[ WHAT WE OFFER ]

• A central role in applying satellite data and AI to real infrastructure challenges, with measurable social and environmental impact in Global South markets.
• Fully remote, cross-border collaboration with senior specialists across cloud, GeoAI, product, and design.
• Competitive contractor compensation commensurate with experience and scope.
• Direct exposure to earth-observation technology, including data ecosystems built with Japan's space agency (JAXA).

Tenchijin Inc. is an equal-opportunity organization. We evaluate all applicants on qualifications and merit, without regard to nationality, race, religion, gender, age, or disability.
TENCHIJIN INC. · GLOBAL SOUTH PROJECT

歓迎スキル

• Geospatial / remote-sensing expertise — tooling such as GDAL, rasterio, GeoPandas, PostGIS, or Google Earth Engine, and experience integrating satellite imagery (optical and/or SAR) into predictive models. Candidates coming directly from earth-observation organizations (e.g., Atlas AI, Google Earth Engine, NASA, JAXA, NOAA, ESA, or comparable) are especially encouraged to apply.
• Domain experience in infrastructure, utilities, water, energy, or climate-risk analytics.
• Experience with MLOps tooling (MLflow, Kubeflow, SageMaker, Vertex AI).
• Publications, competition results, or open-source contributions in GeoAI / remote sensing.
• Experience working in a cross-functional POD / squad delivery model.

求める人物像

応募概要

給与

Up to ¥1,300,000 / month

勤務地

Remote — Global (cross-border, distributed team)

雇用形態

Independent Contractor (fixed-term project engagement)

勤務体系

Contract Period: January 1, 2027 – April 30, 2028 (16 months)

試用期間

福利厚生

【Notice Regarding the Selection Process】
Due to an unexpectedly high volume of applications, the screening process and notification of results are taking longer than usual.
We are reviewing applications sequentially and will contact you as soon as possible. We kindly ask for your patience.

*Please note that we are unable to respond individually to direct inquiries regarding application statuses made via our recruitment website or phone. Thank you for your understanding.