Chief Officer

3 weeks ago

London, Greater London, United Kingdom Forsyth Barnes Full time
Job Title: Chief Officer - AI Innovation Leader

We are seeking a highly skilled and experienced Chief Officer to lead our global R&D efforts in AI and fintech. As a key member of our team, you will be responsible for driving innovation and execution, ensuring our AI solutions are state-of-the-art.

Key Responsibilities:

* 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.

* 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.

* Spearhead the design, development, and deployment of AI-based fintech solutions, collaborating with product and customer-facing teams to drive value.

* Develop scalable technical architecture, optimizing and leveraging semantic web technologies, machine learning with graph data, and cloud-based systems such as Azure and Databricks.

* Ensure that the company's technology infrastructure adheres to regulatory requirements and cybersecurity best practices.

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 scientists and engineers.

* Complex PMO 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 libraries 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., 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.

What We Offer:

* A dynamic and innovative work environment.

* Opportunities for professional growth and development.

* Competitive salary and benefits package.

How to Apply:

If you are a motivated and experienced professional looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information].

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