Job Title: Interim Chief AI Officer
Location: Remote with occasional travel to South of France.
Job Type: Contract
Contract Length:3-6 Months
Contract Type:Outside IR35
The Role:
As Chief AI Officer, reporting to the CEO, you'll lead our global R&D efforts. Your mission is to drive innovation and execution and ensure our AI is state-of-the-art. You will work closely with our data science, development, product, and customer-facing teams to design and implement cutting-edge solutions that deliver real business value.
This role requires a deep understanding of AI, machine learning, knowledge graph, and predictive analytics, coupled with the ability to lead a team of data scientists and software engineers in multiple R&D centers. You must excel in designing, building, optimizing, and utilizing Knowledge Graphs and their ontologies, as these are essential for addressing complex, open-ended challenges in private market investment.
Key Responsibilities:
- Technical Leadership: Define and drive the technology roadmap, ensuring scalability, reliability, and security of the platform. Oversee AI integration with financial products to meet business goals.
- Research & Development: Lead AI R&D efforts, working closely with the Chief Scientist to innovate and integrate the latest advancements in machine learning, knowledge graphs, and predictive analytics into fintech solutions.
- Team Management: Build and lead a high-performing team of engineers, data scientists, and AI/ML specialists across multiple R&D centers, fostering a culture of innovation and excellence.
- Product Development: Spearhead the design, development, and deployment of AI-based fintech solutions, collaborating with product and customer-facing teams to drive value.
- Architecture & Infrastructure: Develop scalable technical architecture, optimizing and leveraging semantic web technologies, machine learning with graph data, and cloud-based systems such as Azure and Databricks.
- Collaboration: Work closely with the CEO, Chief Scientist, and other executive leadership to align technology with business goals. Participate in technical communications with external stakeholders, including universities and research institutions.
- Risk & Compliance: Ensure that the company's technology infrastructure adheres to regulatory requirements and cybersecurity best practices.
- Innovation & Strategy: Stay updated on emerging trends in AI and fintech, leading R&D initiatives to maintain a competitive edge in the market.
Key Requirements:
- Advanced degree, preferably PhD in a related field (e.g., AI, machine learning, data science, statistics, probability), from a prestigious university.
- 10+ years of experience in AI, machine learning, and predictive analytics.
- Outstanding people leadership skills, with the ability to mentor and guide a team of data scientist and engineers.
- Prior experience in strategy consulting (highly desirable).
- Complex PMO (Project Management Office) experience, including managing multiple large-scale projects simultaneously.
- Ontology engineering skills: design, develop, and manage ontologies to organize and structure data, ensuring effective data integration, interoperability, and reuse.
- Semantic Web technologies skills: implement technologies like RDF, OWL, and SPARQL to enhance data connectivity, utilizing semantic web standards for data sharing and representation.
- Machine learning with graph data skills: utilize machine learning techniques on graph-structured data, enhancing predictive models and analytical capabilities through graph-based learning.
- Expertise in programming languages and library commonly used in AI and data science, e.g., Python or R, Tensorflow or Pytorch, Darts.
- Working experience with large-scale data processing frameworks (e.g., Hadoop, Spark, MLFlow …).
- Working experience with large-scale search engines and DBMS (e.g., Elasticsearch, SQL, Neo4j, CosmosDB).
- Experience in Training and Monitoring AI, machine learning, and predictive analytics models on Azure and/or Databricks
- Experience in deployments of AI, machine learning, and predictive analytics production model on Azure and / or Databricks.
- Ability to take responsibility, initiative, and use excellent comprehension skills to develop solutions to complex AI, machine learning, and predictive analytics problems quickly.
- Excellent written and verbal English communication skills.
- A strong bias for decisiveness, action, fail-fast, and the ability to work in a high-velocity, dynamic environment.
