Description

You will design and implement advanced AI/ML solutions, including GenAI agents and LLM applications, for enterprise financial services needs.

This role is on-site.

Responsibilities

• Align ML problem definitions with business objectives to ensure solutions address real-world needs.
• Design, develop, and manage prompt-based models on Large Language Models for complex financial tasks.
• Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications.
• Establish validation procedures with evaluation frameworks, bias mitigation, safety protocols, and guardrails.
• Integrate GenAI solutions with enterprise platforms using API-based methods.

Required Skills

• 8+ years of applied AI/ML experience.
• Proficiency in Python, TensorFlow, and PyTorch.
• Experience with LangChain, RAG, and Neo4j.
• Strong understanding of Data Mining, Statistics, Data Structures, and Algorithms.
• Experience deploying scalable software platforms in enterprise environments.
• Proficiency in AWS cloud services.
• Strong grasp of the Software Development Life Cycle.

Preferred Skills

• Experience with GCP or Azure cloud platforms.
• Proficiency in RDBMS and NoSQL databases.

Key Skills

Education

Any Graduate