Title: Senior AI/ML Engineer - Communication Surveillance
Exp: 7-12 Years
Notice Period : Immediate Joiner
We are seeking an experienced AI/ML Engineer to support the development and enhancement of Communication Surveillance solutions for a leading Banking and Capital Markets client. The role focuses on designing, developing, and deploying enterprise-grade AI/ML solutions that identify regulatory breaches, market abuse, insider trading indicators, collusion, information leakage, and employee misconduct across multiple communication channels, including emails, chat platforms, collaboration tools, and voice transcripts.

You will leverage Natural Language Processing (NLP), Large Language Models (LLMs), Generative AI, Databricks, and MLflow to build scalable, production-ready machine learning solutions while adhering to the security, compliance, and governance standards required in highly regulated financial environments.

Responsibilities
Design, develop, train, fine-tune, and deploy AI/ML models for Communication Surveillance use cases.





Build advanced NLP solutions for analyzing structured and unstructured communication data.

Develop and optimize Large Language Model (LLM) and Generative AI-based solutions for surveillance and compliance applications.

Create scalable machine learning pipelines using Databricks Lakehouse Platform.

Manage model lifecycle using MLflow, including experiment tracking, model registry, deployment, monitoring, and version control.

Develop data preprocessing, feature engineering, model training, evaluation, and inference pipelines.

Work closely with business stakeholders, compliance teams, and domain experts to translate surveillance requirements into AI solutions.

Ensure model explainability, accuracy, robustness, and regulatory compliance.

Optimize model performance for production deployment and continuous improvement.

Collaborate with data engineers and platform teams to integrate AI solutions into enterprise applications.

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