AI/ML Developer

About the Role

Key Responsibilities

• Develop and implement machine learning models for customer analytics, profitability assessment, and balance sheet optimization.
• Work with structured and unstructured data, leveraging techniques such as NLP, deep learning, and time-series analysis.
• Collaborate with business stakeholders to translate banking problems into machine learning solutions.
• Deploy models into production using MLOps best practices.
• Ensure compliance with regulatory requirements and model governance frameworks.
• Conduct model validation, performance tuning, and explainability analysis.
• Stay updated with emerging AI/ML trends in the financial industry.

Requirements

• 5+ years of experience in machine learning, data science, or AI, preferably in the banking or financial sector.
• Strong programming skills in Python, R, or Scala with expertise in ML libraries such as TensorFlow, PyTorch, Scikit-learn.
• Experience with big data technologies (Hadoop, Spark) and SQL/NoSQL databases.
• Knowledge of risk modeling, capital models, and regulatory compliance in banking.
• Hands-on experience with MLOps tools (Docker, Kubernetes, MLflow, Kubeflow, Airflow).
• Strong understanding of statistical modeling, optimization, and feature engineering.
• Ability to communicate complex ML concepts to non-technical stakeholders.
• Degree in Computer Science, Data Science, Mathematics, or related field preferred.

Nice to Have

• Experience in automated trading, portfolio optimization, or AI-driven customer engagement.
• Familiarity with LLMs and GenAI applications in banking.
• Certifications in AWS/Azure AI/ML services.