Applied AI /ML Associate

Are you ready to shape the future of banking with cutting-edge AI solutions? Join our dynamic team to transform client onboarding and document operations, partnering with business leaders to deliver measurable results in a fast-paced, collaborative environment.

Job Summary

As an AI Practitioner within the client onboarding and documentation organization, you will:

• Design and implement AI-driven solutions to streamline onboarding and document-intensive banking operations.
• Lead the development and deployment of document intelligence models, LLM-based data extraction frameworks, and automation pipelines to improve efficiency and accuracy.
• Serve as an individual contributor, deeply involved in solution design, model development, and deployment.
• Potentially transition into a team leadership role as the AI portfolio grows and solutions scale across functions.
• Apply advanced AI expertise and banking domain knowledge to deliver impactful, production-grade solutions for onboarding and KYC processes.

Job Responsibilities

• Deliver production-grade AI solutions for document understanding and onboarding automation.
• Build and deploy LLM-powered extraction and summarization frameworks for unstructured documents.
• Achieve measurable improvements in accuracy, turnaround time (TAT), and operational efficiency.
• Develop reusable AI modules and APIs to enable rapid adoption across operations functions.
• Lead and expand a specialized AI team as solution scale and business demand increase.
• Design, implement, and optimize AI models and algorithms for diverse business applications.
• Collaborate with stakeholders to gather requirements and translate them into effective AI solutions.
• Analyze large datasets to extract actionable insights and support data-driven decisions.
• Ensure all AI initiatives comply with data privacy, governance, and ethical standards.
• Monitor and maintain model performance, retraining as needed to ensure reliability.
• Drive innovation by exploring emerging AI frameworks and technologies for continuous improvement.

Required Qualifications, Capabilities, and Skills

• Atleast4 years of experience in AI/ML, with at least 4 years in NLP, Document AI, or Generative AI.
• Strong foundation in machine learning and deep learning algorithms (classification, clustering, entity extraction, semantic similarity).
• Hands-on experience with TensorFlow or PyTorch, scikit-learn, HuggingFace Transformers, and spaCy.
• Proven expertise in building document intelligence solutions (classification, OCR, key-value extraction, summarization).
• Proficiency in Python, SQL, Pandas, and experience with data ingestion and preprocessing pipelines.