
11 - 50 employees
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
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.
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11 - 50 employees
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
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.
• Backend Architecture & API Design: Architect, build, and maintain highly scalable and secure backend services and APIs using Python web frameworks (preferably Django). • Computer Vision Integration: Integrate CV models/pipelines into core backend workflows, optimizing for speed, memory usage, and throughput. • Database & Data Modeling: Design, query, and optimize relational SQL databases to ensure fast query performance, data integrity, and high availability. • Cloud Infrastructure (AWS): Deploy, scale, and manage backend services on AWS, ensuring secure deployment pipelines and resource efficiency. • Collaboration & Quality: Lead technical design discussions, write clean and well-tested code, conduct code reviews, and mentor junior/mid-level team members. • MLOps Integration (Advantage): Assist in streamlining ML model deployment, tracking, monitoring, and pipeline automation to bridge the gap between AI research and production backend code.
• Experience: 10+ years of professional software development experience with proven expertise in Python. • Backend Development: Hands-on experience building backend services in Python and deploying computer vision models within backend services. • Web Frameworks: Strong command of Django (preferred) or other modern Python web frameworks (FastAPI, Flask) for building complex web services and RESTful APIs. • Database Management: Strong fluency with SQL and relational databases (PostgreSQL, MySQL), including schema design, indexing, and query optimization. • Cloud Platforms: Hands-on experience deploying and managing backend application architectures on AWS. • Computer Vision: Practical experience working with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow, PIL). • Software Engineering Best Practices: Experience applying object-oriented or functional programming concepts in Python, clean architecture, unit testing/integration testing, CI/CD pipelines, and Git workflows. • Technical Leadership: Experience leading technical design discussions, conducting code reviews, and leading a software engineering team.
• 100% Remote Work: Work from anywhere with a flexible schedule. • Long-Term Stability: A sustainable, long-term position in a growing engineering team. • Technical Ownership: High autonomy to make architectural decisions and impact core products directly.
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