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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Computer Vision Engineer - **Company:** Terabase Energy - **Location:** Paris, France (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Geographic Information Systems, Artificial Intelligence, Computer Vision, Code Review, Continuous Integration, Extract Transform Load (ETL), Software Debugging, Python (Programming Language), Machine Learning, Language Modeling, PostGIS, Tensorflow, Pytorch, Delivery Pipeline, Large Language Models, Deep Learning, Backend, Information Technology, Geospatial Data Abstraction Library (GDAL), Machine Learning Operations, Front End Software Development, Software Version Control, Data Pipelines, Atlassian Bamboo, Docker - **Published:** September 17, 2026 - **Apply:** https://startup.jobs/computer-vision-engineer-bamboo-terabase-energy-10089639 ## About the Role * Master's degree in Computer Science, Machine Learning, or a related field - or equivalent professional/research experience * Proven, hands-on experience building, testing, shipping, and supporting production B2B applications using AI-first or AI-native engineering workflows - proficiency with AI coding agents and AI-assisted development tools is expected, not a nice-to-have * 2+ years of hands-on experience developing and deploying AI/ML models and pipelines (academic or industry) * Strong Python proficiency - you write clean, testable, well-structured code * Solid Computer Vision fundamentals and applied experience across detection, segmentation, classification, or related tasks * Deep learning framework experience: PyTorch and/or TensorFlow * Experience with data annotation tooling and labeling validation workflows * MLOps experience: experiment tracking, model versioning, deployment pipelines (e.g. MLflow, DVC, Docker, CI/CD) * Comfortable working remotely and collaborating asynchronously across time zones * Strong written and verbal communication in English (French is a plus) * Solid grasp of agile development practices and the full software product lifecycle Nice to Have * PhD in Computer Science, Computer Vision, or a related field * Experience with LLMs, Vision-Language Models, or Foundation Models applied to structured prediction or grounding tasks * Track record evaluating, adopting, or championing new AI-assisted engineering tools and practices within a team * Track record building robust ETL pipelines for large, evolving datasets * Experience with digital twin concepts - modeling and tracking physical assets and processes in software * Hands-on experience with GIS technologies (PostGIS, GDAL, geospatial data formats, coordinate systems) * Startup or scale-up experience, shipping new products in fast-moving, resource-constrained environments ## Description You'll join Bamboo's Computer Vision team in Paris as an integral, full-time member, reporting to the Head of AI. You'll work at the intersection of deep learning, geospatial analysis, and real-world solar construction, building CV systems that are deployed at scale on active job sites around the world. This is a role for someone who moves fast, digs deep, and wants their work to have a direct impact on the energy transition. The Computer Vision team owns the full ML lifecycle for Bamboo: from problem framing and dataset curation, through model development and validation, to production deployment and continuous improvement. We build in an AI-first way. AI coding agents, AI-assisted code review, and AI-driven testing and debugging are core parts of how our engineering team ships software day to day, not experimental side projects - and we're looking for engineers who already work this way and want to keep pushing how far it can go. Beyond deep technical expertise, we're looking for someone who is genuinely excited about applying cutting-edge computer vision to one of the most impactful challenges of our time: accelerating the clean energy buildout. You'll work closely with engineering teams in Paris and our external development partners in Belgrade, Serbia. What You'll Do * Write clean, production-grade Python code across the full ML stack - data pipelines, model training, inference services, and evaluation frameworks * Build, test, ship, and support production ML/CV features using AI-first and AI-native engineering workflows - AI coding agents, AI-assisted review, and AI-driven testing and debugging are default tools here, not optional extras * Track and apply the latest advances in computer vision and deep learning, from foundation models to efficient inference architectures, to real-world construction challenges * Design and run rigorous testing and validation protocols for ML-based products in challenging, real-world construction site conditions * Partner closely with cross-functional engineering teams (frontend, backend, data, infra) and external development partners to ship integrated features * Own the end-to-end ML lifecycle: design, train, evaluate, and deploy models that digitalize every phase of a solar plant, from development and design through construction and operations * Serve as a technical bridge to users of developed tools, gathering field feedback, debugging edge cases, and closing the loop between model performance and real-world outcomes * Contribute to team culture and cross-office cohesion, bridging the Paris team with engineering, product, and field operations teams worldwide ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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