Back to jobsAt least 7 years in leading AI/ML engineering, platform development, or large-scale digital product engineering for a large scale brand, with previous experience to implement a digital-only Bank or major digital transformation will be preferred. Proven experience deploying AI/ML solutions at enterprise scale, (preferably in banking/financial services). Hands-on track record in building Conversational AI, deploying Agents and scaling Generative AI platforms and enterprise ML platforms
Bachelor’s degree in quantitative field such as Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics or related field required. Master’s degree or equivalent in AI/ML is preferred
AI/ML Engineering and Deployment Proficiency
Deep learning, LLMs, multimodal models, RAG, vector databases, agentic systems
NLP/NLU, recommendation engines, personalization
Programming and Tools proficiency, (Python, QL/NoSQL, GraphQL, REST, FAST APIs, Azure & AWS cloud platforms, MLOps (Docker, Kubernetes, CI/CD) Data platforms (data lakes, knowledge graphs, vector DBs) BI tools (Tableau, Power BI, Superset)
Innovation and Collaboration
Adoption of emerging AI trends (foundation models, RLHF, agentic AI)
Rapid prototyping with enterprise-grade scalability and security
Strong communication and stakeholder engagement
Active contributor to AI communities and open-source
