DescriptionAs a Vice President, AI Engineering Lead within our Markets Operations Applied AI team, you will be instrumental in developing top-notch, production-grade AI solutions and crafting compelling Proof of Concepts and demos.
If you are passionate about leveraging your software engineering expertise to create impactful AI/ML solutions and enjoy working in a dynamic, innovative environment, then you have found the right team!
Job Responsibilities
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Develop High-Quality Software – Design, develop, and maintain robust, scalable, and high-performance software solutions that support AI/ML initiatives.
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Create PoCs and Demos – Rapidly prototype and develop PoCs and demos to effectively communicate AI/ML solutions to business stakeholders at an early stage.
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Collaborate with AI/ML Teams – Work closely with data scientists, ML engineers, and business stakeholders to understand requirements and translate them into technical solutions.
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Enhance Code Quality – Raise the standard of code quality and engineering practices across the data science team by implementing best practices and providing technical guidance.
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Integrate AI/ML Models – Collaborate with ML engineers to integrate AI/ML models into production systems, ensuring seamless deployment and operation.
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Mentor and Guide – Provide mentorship and technical leadership to team members, fostering a culture of continuous learning and improvement.
Required qualifications, capabilities, and skills
- Bachelor’s or higher qualification in Computer Science, Software Engineering, or a related field.
- Extensive experience in software development, with a strong focus on building scalable, high-performance applications.
- Solid understanding of AI/ML concepts and experience working with data science teams to develop and deploy AI/ML solutions.
- Proficiency in Python and web technologies.
- Proven ability to rapidly prototype and develop PoCs and demos to visualize complex technical solutions.
- Strong advocate for code quality, best practices, and software development methodologies.
- Effective verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.
- Demonstrated ability to work collaboratively in multi-disciplinary teams with diverse backgrounds.
- Proven ability to provide technical mentorship and guidance to team members.
If you are ready to leverage your software engineering expertise to drive impactful AI/ML solutions and enjoy working in a dynamic, innovative environment, we encourage you to apply. Join us and be a part of a team that is shaping the future of financial technology.