Marketing Business Modeling - Applied AI ML Lead
Marketing Business Modeling - Applied AI ML Lead
Posted on :
31-07-2025
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1 Vacancy
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Job Description
Description
Join the team that works with cutting-edge AI labs collaborates with cross-functional teams and delivers intelligent solutions that enhances our operations.
As an Applied AI Ml Lead within the Machine Learning and AI team you will lead the design development and scaling of machine learning and AI workflows in our Consumer and Community Bank business.
Job Responsibilities:
- Guide a dedicated AI team to explore advanced ML and AI techniques such as LLMs generative AI agentic systems to address strategic Consumer and Community Banking challenges in front-to-back modeling.
- Architect and implement state-of-the-art machine learning pipelines scalable services and APIs using Python PySpark DBX and more.
- Research prototype deploy and monitor ML models including classification regression transformer-based LLMs and multi-modal agentic workflows.
- Work with Product Consumer Banking Finance Compliance Technology Legal and CDAO to deliver AI and ML-powered automation agents and decision support.
- Ensure robust model risk documentation regulatory compliance fair and responsible AI monitoring and version control frameworks.
- Coach a hybrid team of ML engineers data scientists and research technologists fostering best practices in MLOps and Python-driven experimentation.
- Translate model outputs into business KPIs deliver performance insights to senior leadership and drive ROI and adoption across CCB.
Required qualifications capabilities and skills:
- Masters in Computer Science Data Science Machine Learning Statistics or a related quantitative field; 5 years in the industry as a data scientist/ML engineer including lead roles building AI/ML applications in tech or financial services.
- Proficiency in Python PyTorch TensorFlow Scikit-learn Jupyter; hands-on with LLM agent frameworks deep learning (CNNs transformers) exploratory data analysis.
- Experience with MLOps model monitoring cloud (AWS Azure) Spark/PySpark or Databricks.
- Understand data structures algorithms scalable system design and production practices.
- Familiarity with prompting techniques fine-tuning multi-modal agent workflows APIs for LLMs.
- Strategic thinking clear communication across technical and non-technical audiences ability to translate OKRs mentor teams and influence stakeholders.
Preferred qualifications capabilities and skills:
- PhD preferred for deep-Lab/agentic use cases
- Experience in financial institution environments.
- Publications or patents in ML/AI particularly agentic or generative systems.
- Familiarity with Responsible AI frameworks: fairness bias mitigation explainability.
- Domain experience in marketing forecasting media.
Employment Type
Full-Time
Key Skills
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