Job Responsibilities
- Lead the formulation and execution of AI strategies to address complex challenges in Markets Operations, ensuring alignment with business objectives.
- Oversee the design and development of robust, scalable, and reusable machine learning models and systems that deliver measurable business impact.
- Partner with engineering and business teams to integrate AI services seamlessly into strategic systems and processes, enhancing operational efficiency.
- Establish comprehensive evaluation frameworks to assess model performance and drive continuous improvement in alignment with business goals.
- Deepen your understanding of the Markets business to identify opportunities for AI-driven innovation and deliver practical, impactful solutions.
- Lead, mentor, and inspire a team of AI practitioners, fostering a culture of excellence, innovation, and continuous learning.
- Ensure the creation and maintenance of production-grade code for analysis and training pipelines, adhering to best practices and industry standards.
Required qualifications, experience, and skills
- Master’s or higher qualification in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related highly quantitative field.
- Extensive experience in leading and managing high-performing AI or data science teams.
- Deep understanding of fundamental machine learning approaches and practical experience with statistical data analysis and experimental design.
- Proven track record of developing and deploying data science and ML capabilities in production at scale.
- Strong experience with Python programming and common ML frameworks (e.g., PyTorch, Pandas, NumPy) and MLOps platforms (e.g., SageMaker).
- Exceptional verbal and written communication skills, with the ability to convey complex technical concepts to diverse audiences.
- Demonstrated ability to work effectively on multi-disciplinary teams with diverse backgrounds.
Preferred Qualifications, Capabilities, and Skills
- PhD in Machine Learning, Computing Science, or related fields.
- Experience in using AI and machine learning for software engineering.
- Strong client partnership, stakeholder management, and project management skills.
- Proven ability to deliver impactful books of work that drive business success.