Senior Manager of Artificial Intelligence

The Opportunity

We are seeking a hands-on Senior Manager of Engineering (AI/ML) to lead our team of talented ML engineers, data scientists, and software engineers. As a key member of our data engineering leadership team, you will drive the development and implementation of cutting-edge AI/ML solutions that power fintech solutions, and drive innovation. This role requires a strong blend of technical leadership, strategic thinking, and effective operations skills.Our Engineering Managers are a select group of technology leaders and mentors who shape the solutions we bring to the market and foster an inclusive environment that brings out the best in people.

Responsibilities:

• Lead end-to-end design, development, and deployment of scalable AI/ML models and systems, ensuring high performance, reliability, and maintainability
• Coach team on AI/ML projects, resolving complex technical challenges and ensuring successful project delivery
• Establish and refine robust MLOps practices for seamless model development, deployment, monitoring, and retraining
• Leverage Gen AI techstack including Langchain, LLM, and RAG to build Gen AI solutions that solve business challenges. Use RAG models to combine data in documents with EDW to solve complex use cases and reduce time to insights
• Lead collaborative efforts across teams to strategically incorporate GenAI and LLM technologies into the company's applications
• Hire top tier talent and build high performing AI/ML team

Requirements:

• 5+ years of Management experience
• 12+ years of experience in solving AI/ML problems
• Bachelor or advanced degree in Computer Science, Engineering, Mathematics, or a related field. Advanced degree (Master's or Ph. D. ) preferred
• Proficiency in ML packages like Tensorflow, PyTorch, scikit-learn, and Spark ML
• Deep understanding of AI/ML algorithms, frameworks, and technologies, with hands-on experience in building and deploying AI/ML models at scale
• Strong knowledge of software engineering best practices, including agile development methodologies, code review processes, and continuous integration/continuous deployment (CI/CD) pipelines
• Deep understanding of Generative AI (transformers, diffusion models, etc.), RAG techniques, NLP concepts, and programming (Python, etc)
• Exposure to distributed, large-scale, and fast-growing environments
• 5+ years of experience in financial services or fintech
• Design and built large scale AI product/solutions for B2B or B2C