Head of Ai

Vor 3 Tagen


München, Deutschland Congrify Vollzeit

At Congrify we are a payments data observability and intelligence company.
We enable merchants and payment service providers increasing revenues, optimizing costs, ensuring compliant and efficient reconciliation processes.
Payment professionals can free up their time without needing to spend hours in bringing together data from multiple payment service providers and data sources, thanks to our no-code tools all the payments data and insights are available within seconds, allowing users to focus on taking actions and increasing their businesses success.
We are looking for a driven and motivated Head of AI to join our dynamic, hybrid team. This role offers the unique opportunity to be a key contributor to our growth and success.
You will play a pivotal role in developing and enhancing our AI payments assistant and AI-agents As we scale, you will have the chance to establish your leadership position and shape the future direction of our company.
Tasks
- Develop and Deploy Machine Learning Models: Code and implement predictive algorithms (using frameworks like TensorFlow or PyTorch) to analyze payment transactions and patterns
- Build and Maintain Data Pipelines for AI: Design robust, scalable data pipelines that ingest, clean, and preprocess large volumes of payments data for AI analysis.
- Implement Real-Time Anomaly Detection: Develop and continuously refine algorithms that monitor transactions for irregularities, enabling swift fraud detection and prevention.
- Integrate AI Solutions with Core Products: Work directly with engineering teams to embed AI-driven features into existing payment systems, ensuring smooth, real-time operation.
- Conduct Exploratory Data Analysis and Feature Engineering: Dive into raw data to extract valuable insights and engineer features that enhance model performance and accuracy.
- Prototype and Experiment with Emerging Technologies: Regularly test new AI tools and techniques in a lab environment, then scale the most promising solutions for production.
- Monitor, Evaluate, and Optimize Model Performance: Use hands-on coding to develop monitoring dashboards and automated pipelines that track key performance indicators (KPIs) for deployed models.
- Scale Algorithms for High-Volume Transactions: Tweak and optimize AI models to handle increased loads while maintaining accuracy and performance, ensuring reliability in a live payments environment.
- Lead Code Reviews and Technical Mentorship: Actively participate in and lead coding sessions, providing hands-on guidance and mentorship to junior AI engineers.
- Ensure Data Security and Compliance: Develop and enforce secure coding practices, and implement checks within the AI workflow to guarantee that all solutions meet regulatory and ethical standards.
- Build and Hire the AI & Data Science team.

**Requirements**:

- Educational Background: Bachelor’s or Master’s in Computer Science, AI, Data Science, or a related field.
- Large Transactional Data Models: Proven experience in designing, implementing, and optimizing large-scale transactional data systems.
- Cloud-Based Architecture: Hands-on experience with AWS cloud services (e.g., EC2, S3, Lambda) and related cloud infrastructure.
- OLAP Expertise: Familiarity with OLAP systems like ClickHouse for efficient analytical processing.
- Fintech Exposure: Experience in fintech is a plus, with familiarity in payment systems and financial data dynamics.
- Programming Skills: Strong proficiency in languages such as Python, R, or Java with expertise in machine learning frameworks.
- Data Pipeline Development: Demonstrated ability to build and manage end-to-end data pipelines for high-volume data ingestion and processing.
- Model Deployment: Hands-on experience in developing, deploying, and monitoring machine learning models in production environments.
- Security & Compliance: Deep understanding of data governance, security best practices, and compliance standards in financial contexts.
- Leadership & Communication: Proven ability to lead technical teams, mentor junior talent, and effectively communicate complex AI concepts to diverse stakeholders.

**Benefits**:

- Innovative Startup Environment: Join a dynamic, forward-thinking startup dedicated to building cutting-edge AI solutions for merchants and platforms.E
- quity Plan: Benefit from an equity plan structured around your agreement, offering potential long-term rewards.
- Co-Founder Opportunity: Based on discussions and mutual fit, there's the possibility to join as a Co-Founder, contributing to strategic decisions and company growth.
- Competitive Compensation: Enjoy a structured salary and growth plan that recognizes your contributions and supports your career development.
- Munich
- Berlin
- San Francisco



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