- Technical experience with building large-scale backend software / platforms, leading, supporting & growing large development teams.
- 5 years of software development management experience, managing team of engineers.
- Experience in AI & ML or Data.
- Demonstrated experience partnering with product managers and cross-functional stakeholders to create the course of a platform.
- Contributed in the past to the technical strategy of the team.
Key Responsibilities :
- Architect and oversee the end-to-end lifecycle of machine learning models, from initial research and prototyping to large-scale deployment, ensuring they meet rigorous performance and reliability standards.
- Mentor and lead a diverse team of machine learning engineers and data scientists, fostering a culture of technical excellence,
continuous learning, and agile delivery.
- Partner with product and business stakeholders to translate ambiguous business requirements into concrete technical roadmaps and scalable AI-driven product features.
- Optimize infrastructure and MLOps pipelines to reduce latency and improve model training efficiency, directly impacting the speed and quality of our service delivery.
- Drive the adoption of best practices in software engineering, model governance, and ethical AI, ensuring our systems remain compliant, scalable, and maintainable as the business grows.