Description

Key Skills: Artificial Intelligence, Machine Learning, Generative AI, Python, Data Science, MLOps, LLMs, RAG Pipelines, Big Data, SQL

Good to Have Skills: Experience in fraud detection, risk management, and anti-money laundering (AML) is preferred. Knowledge of NumPy and Pandas libraries, big data technologies such as Spark, Hue, and Impala, various databases including NoSQL and Teradata. Familiarity with regulatory frameworks and industry standards related to model governance. Strong business acumen and exceptional communication skills with ability to influence executive stakeholders.

Roles & Responsibilities:

• Provide thought leadership and architectural oversight for all ML/AI/Gen AI solutions including setting technical vision for fraud analytics platform.
• Act as the team's chief architect and technical authority, providing hands-on guidance and contributing to the codebase for critical components.
• Establish and oversee a robust governance framework for the entire model lifecycle to meet regulatory and internal standards for AI/Gen AI models.
• Architect and own the team's enterprise-grade MLOps framework that supports both traditional ML and complex LLM-based systems.
• Lead, manage, and mentor a high-performing team of AI specialists including recruiting, hiring, and developing world-class AI talent.
• Drive strategic alignment by translating executive vision into a technical roadmap and articulate the value, risks, and ROI of complex AI initiatives to senior leadership.
• Define engineering standards, best practices, and technology stack for the team while leading by example in solving challenging technical problems.
• Make strategic decisions on build-vs-buy for MLOps tooling and platforms to create a best-in-class ecosystem.

Experience Required: 12 plus years of professional experience, with a significant portion spent in a hands-on technical leadership capacity. Proven track record of leading high-performing AI/ML teams while maintaining deep, hands-on involvement in system architecture and design.

Education: Master's or Ph.D. in a relevant technical field

Key Skills

Education

Any Graduate