About the role:
We are looking for an AI Lead who will play a pivotal role in shaping our AI vision, driving the development of advanced AI capabilities, and ensuring seamless integration of AI technologies across our custom software projects. You will oversee AI architecture and delivery, guide cross-functional teams, and champion innovation to elevate both our internal expertise and the value we deliver to our customers.
Responsibilities:
- Lead the design and integration of AI solutions into software applications, ensuring alignment with business objectives and technical requirements
- Architect scalable and robust AI systems that enhance application performance and deliver impactful user experiences
- Collaborate with cross-functional teams to identify opportunities for AI implementation, advocating for strategic initiatives that leverage artificial intelligence
- Oversee the development of AI models and frameworks, guaranteeing their quality, scalability, and maintainability
- Ensure seamless communication of AI-driven insights and architectural decisions to stakeholders through comprehensive documentation, reports, and presentations
- Guide the adoption of AI strategies and technologies across the organization, fostering an innovative culture focused on AI advancements
- Continuously evaluate AI architectural practices and emerging technologies to drive innovation and improve application capabilities, focusing on AI Agents
What are we looking for:
- Strong background in Mathematics, Statistics, Data Science, or related field (MSc/PhD preferred)
- 5+ years of experience in machine learning, data science, or AI project delivery
- Proficiency in Python, PySpark, SQL, and Databricks
- Solid understanding of ML algorithms (tree-based, linear models, clustering, anomaly detection, recommendation systems, etc.)
- Ability to communicate complex technical concepts to both technical and non-technical audiences
- Strong organizational skills and experience working with cross-functional teams
- Exposure to banking/financial services data is a strong advantage
Nice-to-have:
- Experience in the financial services industry, with a focus on integrating AI-driven solutions to enhance service offerings
- Exposure to MLOps practices (MLflow, CI/CD for ML) being a strong advantage
- Experience developing or deploying AI models
