Position Details
About this role
Lead development and deployment of cutting-edge machine learning and generative AI/agent solutions across enterprise initiatives, partnering with business stakeholders to deliver measurable business outcomes while ensuring responsible AI practices.
Key Responsibilities
- Lead development and deployment of machine learning and generative AI/agent solutions
- Partner with business stakeholders, technology teams, and risk partners
- Design and implement advanced models using experimentation and multi-modal data
- Build architecture for ML, GenAI, and agent systems
- Advance responsible AI practices with governance, ethics, and security
Technical Overview
Hands-on ML stack including Python, SQL, TensorFlow, PyTorch, Scikit-learn, Pandas; focus on GenAI and agent systems with emphasis on experimentation, A/B testing, and governance.
Ideal Candidate
The ideal candidate is a senior ML engineer with 3+ years of experience, strong Python/SQL, and hands-on experience with TensorFlow/PyTorch, GenAI, and Responsible AI practices, capable of delivering measurable business impact in a banking context.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 3 years ML experience, Lack of Python/SQL or ML frameworks experience, Bachelor's degree not provided or equivalent experience
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