Nacre Capital is a global venture builder that creates, builds, and grows start-ups focused on deep technologies that have a significant societal impact. The company identifies fundamental needs and develops innovative solutions in various sectors, including healthcare, biotechnology, agriculture, and aquaculture. They provide comprehensive support to start-ups, including financial, legal, and recruitment services, and actively help scale their ventures globally. Nacre Capital notably works with companies like FDNA, which assists in identifying rare diseases, and Seed-X, which advances AI-based solutions for seed and grain supply chains.
Artificial Intelligence • Start-Ups • Deep Learning • Technology • Innovation
March 15
AWS
BigQuery
Cloud
Distributed Systems
Django
ETL
JavaScript
Kafka
Microservices
Node.js
NoSQL
Python
PyTorch
SQL
Go
Nacre Capital is a global venture builder that creates, builds, and grows start-ups focused on deep technologies that have a significant societal impact. The company identifies fundamental needs and develops innovative solutions in various sectors, including healthcare, biotechnology, agriculture, and aquaculture. They provide comprehensive support to start-ups, including financial, legal, and recruitment services, and actively help scale their ventures globally. Nacre Capital notably works with companies like FDNA, which assists in identifying rare diseases, and Seed-X, which advances AI-based solutions for seed and grain supply chains.
Artificial Intelligence • Start-Ups • Deep Learning • Technology • Innovation
• About the Company • Seed-X is an agriculture technology startup poised to disrupt the seed industry using the power of Computer Vision and Machine Learning. • We’ve developed the Genee Sorter, a groundbreaking seed sorting machine that enables seed companies to analyze and sort seeds individually. • Our technology ensures precision in seed quality, safety, and cost-effectiveness throughout the seed and grain value chains. • About the Position • As a Data Backend Developer, you will serve as a tech lead and a significant contributor to our product development efforts. • You will set technological standards, make architectural choices, and influence product definitions and the development roadmap. • This is a core team position. • Typical Day at Seed-X • You will experiment with technologies and tools daily to deepen your knowledge. • You will implement features that grow and refine the product vision while discovering better ways to execute tasks. • Our CI/CD workflow will ship your code directly to production. • You will maintain open channels with every stakeholder to help you achieve your tasks and responsibilities. • We value creativity and are looking for innovative thinkers. • Responsibilities • Lead end-to-end development of Seed-X products and features from specification to client delivery. • Adapt, implement, and integrate AI algorithms and solutions from POC to production. • Integrate with diverse systems, including big data pipelines, distributed systems, and edge devices created by Seed-X and its vendors. • Own microservices from end to end. • Maintain and develop our Data Tagging and Biological Experiments Management tools and systems. • Analyze and enhance the precision, scale, and stability of Seed-X products, environments, and tools. • Continuously learn and evaluate new technologies to discover and evolve better solutions and infrastructure. • Enjoy the autonomy to choose the right tools for the job.
• 5+ years of software development experience for a SaaS company. • 5+ years of experience in machine learning and computer vision engineering, with a focus on image and video processing. • 3+ years of experience with server-side programming languages such as Python, Node.js, or Go. • Experience working with databases (SQL/noSQL, BigQuery). • Familiarity with data pipelines for batch and stream data processing (ETL processes). • Knowledge of machine learning product development and deep learning/machine learning frameworks (e.g., PyTorch). • Experience with cloud-based infrastructure (AWS). • System architecture and design skills for distributed microservices-based systems. • Experience in building production APIs. • Familiarity with software engineering best practices (unit testing, code reviews, design documents, modularity). • B.Sc. in Computer Science/Engineering or equivalent industry experience.
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