Description

Define the technical vision and architecture for enterprise-grade AI, Machine Learning, and Generative AI solutions, including fraud analytics and model governance.

This role is on-site.

Responsibilities

• Provide architectural oversight and hands-on technical leadership for ML/AI/Gen AI solutions, contributing to critical codebases.
• Architect and own the enterprise MLOps framework supporting traditional ML and complex LLM-based systems.
• Establish and enforce governance frameworks for the entire model lifecycle to meet regulatory and internal standards.
• Lead, mentor, and recruit high-performing AI specialists while defining engineering standards and best practices.
• Translate executive vision into technical roadmaps and articulate the value, risks, and ROI of AI initiatives to senior leadership.

Required Skills

• 12+ years of professional experience with significant hands-on technical leadership.
• Deep expertise in Artificial Intelligence, Machine Learning, Generative AI, and LLMs.
• Proficiency in Python, Data Science, and SQL.
• Strong background in MLOps, RAG Pipelines, and Big Data technologies.
• Proven track record of leading AI/ML teams and maintaining deep involvement in system architecture.
• Experience in fraud detection, risk management, or anti-money laundering (AML) is preferred.
• Knowledge of NumPy, Pandas, Spark, Hue, Impala, NoSQL, and Teradata.

Preferred Skills

• Familiarity with regulatory frameworks and industry standards related to model governance.
• Strong business acumen with the ability to influence executive stakeholders.

Referral Bonus: ₹50,000

Key Skills

Education

Any Graduate