Description

You will own the design and implementation of advanced AI/ML solutions for enterprise needs.

Responsibilities

• Align ML problem definition with business objectives to ensure solutions address real-world needs.
• Design, develop, and manage prompt-based models on Large Language Models for complex financial services tasks.
• Architect and oversee the development of next-generation machine learning models and systems.
• Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications for enterprise deployment.
• Establish validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails.

Required Skills

• 8+ years of applied AI/ML experience.
• Proficiency in Machine Learning, Python, TensorFlow, PyTorch, AWS, Data Mining, Statistics, LangChain, Rag, and Neo4j.
• Strong understanding of the Software Development Life Cycle, Data Structures, and Algorithms.
• Proven track record of building and scaling software platforms in enterprise environments.
• Experience in aligning ML problems with tangible business outcomes.
• Ability to integrate GenAI solutions with enterprise platforms using API-based methods.

Preferred Skills

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

Key Skills

Education

Any Graduate