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• Design and develop AI/ML models for soil health analysis, crop monitoring, weather prediction, and resource optimization. • Work with large datasets, including geospatial, IoT, satellite, and historical farming data. • Implement and optimize predictive and prescriptive analytics to support decision-making in agriculture. • Preprocess, clean, and analyze structured and unstructured agricultural data. • Develop and maintain data pipelines for real-time and batch processing. • Work with cloud-based data storage, ETL, and big data processing frameworks. • Train, evaluate, and fine-tune models for accuracy, scalability, and efficiency. • Deploy models into production using MLOps best practices. • Collaborate with software engineers to integrate AI-powered insights into mobile and web applications. • Experiment with deep learning, computer vision, and remote sensing technologies for crop health assessment. • Optimize algorithms for low-latency inference and real-time decision-making.
Technische Vision und Strategie: Entwicklung der langfristigen technischen Ausrichtung und Architektur des Produkts. MVP-Entwicklung: Aufbau und Implementierung des Minimum Viable Products (MVP) mit Fokus auf KI-Modelle und Infrastruktur. Teamaufbau: Rekrutierung und Führung eines Teams von Entwicklern und Data Scientists. Datenstrategie und Modellentwicklung: Entwicklung von Machine Learning-Modellen und Datenstrategien zur Produktoptimierung. Testing und Iteration: Sicherstellung der kontinuierlichen Verbesserung des MVP basierend auf Nutzerfeedback.
**1. Initial Setup & Planning • Define Technical Vision: Develop a clear technical vision that aligns with the business goals and product roadmap. • Architect the System: Design the overall architecture of the platform, including frontend, backend, database, and infrastructure. • Technology Stack Selection: Choose the appropriate technologies and tools for development, including programming languages, frameworks, and databases. 2. Development & Implementation • Build Core Infrastructure: Set up the foundational infrastructure, including servers, databases, and cloud services. • Develop Frontend: Create user interfaces using technologies like React or Vue.js, ensuring a responsive and engaging experience. • Develop Backend: Implement server-side logic using Node.js or other relevant frameworks, handling data processing, user authentication, and API integrations. • Integrate AI & ML: Develop and integrate AI algorithms to analyze social media metrics, sales data, and other inputs for real-time valuation. 3. Decentralization & Security • Implement Blockchain: Develop and deploy blockchain solutions to ensure decentralized operations and transparency. • Smart Contracts: Create and test smart contracts for handling transactions and share trading. • Cybersecurity Measures: Establish robust security protocols to protect data and transactions, including encryption and regular security audits. 4. Data Management & Analytics • Data Pipeline Creation: Build data pipelines to handle and process real-time data from various sources. • Analytics & Reporting: Develop tools and dashboards for monitoring platform performance, user engagement, and financial metrics. • AI Training: Continuously train and refine AI models based on new data to improve accuracy and reliability. 5. Testing & Quality Assurance • Conduct Testing: Perform unit testing, integration testing, and end-to-end testing to ensure the platform works as intended. • Debug & Optimize: Identify and fix bugs, optimize performance, and ensure high availability and scalability. 6. Deployment & Maintenance • Deploy the Platform: Launch the platform on production servers, ensuring smooth rollout and minimal downtime. • Monitor Operations: Set up monitoring tools to track system performance, user activity, and potential issues. • Maintain & Update: Regularly update the platform with new features, improvements, and security patches. 7. Collaboration & Leadership • Lead Technical Team: Recruit, mentor, and manage a team of developers, engineers, and data scientists. • Cross-Functional Coordination: Work closely with non-technical co-founders, particularly in marketing and business development, to align technology with business objectives. • Investor Relations: Communicate technical progress and challenges to investors and stakeholders, and manage technical aspects of funding proposals. 8. Strategic & Long-Term Planning • Scalability Planning: Develop strategies for scaling the platform as user base and data volume grow. • Innovation & Trends: Stay informed about emerging technologies and industry trends to ensure the platform remains competitive and cutting-edge. • User Feedback Integration: Implement feedback loops to continuously improve the platform based on user input and market demands. 9. Risk Management • Identify Risks: Assess potential technical and business risks, including security threats and scalability issues. • Develop Mitigation Strategies: Implement risk mitigation strategies and contingency plans to address potential challenges. 10. Continuous Improvement • Performance Reviews: Regularly review platform performance and user satisfaction. • Iterative Development: Use agile methodologies to iterate on features and improvements based on user feedback and market needs. By handling these tasks effectively, a CTO can ensure the successful development, launch, and scaling of Axium.io, transforming it into a leading platform in the entertainment and fintech industries.
Key Responsibilities: • Implement solution for deployment and hosting • Bring our early stage product to the next level and turn it into a fully scalable product • Build an innovative social marketplace • Collaborate on all aspects of the business to ensure seamless integration of technology. • Support the fundraising round with your strategic plans on AI integration What We’re Looking For: • Prior Full-stack experience in a start-up environment. • Familiarity with PERN, Nginx or similar technologies. • Ability to develop and deploy social platform/ marketplace • Interests in AI, and its applications. • Data Science or Machine Learning knowledge is a plus. • Willingness to test and enhance products based on data and feedbacks • Europe based and can travel to Brussels when needed.
Building up and testing the MVP, Establishing the architecture, design, and development of the online marketplace, Leading the development team
You will get into touch with the amazing world of alternative crypto based financial markets having the chance to implement a data aquisition, strategy execution and operation control and monitoring system.
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