Experience: 10+ years in AI/ML with 5+ years in leadership

Qualification: Master’s/PhD in Computer Science, Statistics, or a related field

Are you passionate about designing real-time, intelligent systems that drive impactful decisions in the banking space? We’re looking for a Tech AI/ML Lead to lead enterprise-grade AI/ML initiatives—bringing together data, algorithms, and business value at scale.

Key Responsibilities:

▫️ Design, develop, and deploy AIML models for real-time banking use cases, with a focus on low-latency applications such as Fraud Detection and Transaction Risk Scoring

▪️ Translate business problems into analytical usecases with measurable outcomes, especially in the area of Fraud Detection

▫️ Develop, validate, and operationalize models using structured and unstructured data

▪️ Collaborate with data engineers to build and optimize real-time data pipelines for model execution

▫️ Conduct EDA, Feature Engineering, and Model Tuning

▪️ Own the full AIML lifecycle – from ideation and development to monitoring and retraining

▫️ Ensure all models comply with regulatory, risk, and governance standards including explainability and bias handling

▪️ Drive adoption of AI across the organization and contribute to the AIML roadmap as part of the digital transformation strategy

▫️ Plan and manage AIML budgets and cloud tools while supporting platform scalability and MLOps maturity

What We’re Looking For:

▪️ 10+ years in AI/ML or data science, with 5+ years leading data science or AI teams

▫️ Hands-on with frameworks/tools like Python, SQL, TensorFlow, PyTorch, Scikitlearn, Spark, AzureML, and Databricks

▪️ Proven success in deploying scalable models in production environments (on-prem or cloud)

▫️ Experience with fraud, compliance, risk, and operationalAI use cases in financial services

▪️ Strategic thinker with strong stakeholder management skills

▫️ Knowledge of global AI governance frameworks and ethical deployment practices