About the Role
We are looking for an ML Developer with 6+ years of experience to design, build, and deploy machine learning solutions supporting the surveillance function within a financial services workplace. You will apply advanced ML techniques — anomaly detection, NLP, behavioural analytics, and classification models — to enhance communication and trade surveillance capabilities, helping detect market abuse, misconduct, and compliance breaches at scale.
Key Responsibilities
Design, develop, and deploy ML models for surveillance use cases — anomaly detection, behavioural analytics, NLP-based communication analysis, and pattern recognition across large-scale financial data.
Build and maintain NLP pipelines — text classification, sentiment analysis, entity recognition, and semantic similarity — for electronic communication surveillance.
Develop and maintain feature engineering pipelines — extracting, transforming, and selecting relevant features from trade, communication, and market data for ML model training.
Train, evaluate,



and optimise ML models — applying supervised, unsupervised, and semi-supervised learning techniques for surveillance detection and alert prioritisation.
Integrate ML models into surveillance platforms — deploying models as REST APIs or batch inference pipelines for production consumption.
Implement model monitoring and drift detection — ensuring surveillance models maintain accuracy, reliability, and performance in production.
Collaborate with surveillance analysts, compliance teams, and data engineers — translating surveillance business requirements into well-designed ML solutions.
Support alert tuning and false positive reduction — applying ML-driven approaches to improve surveillance detection quality and operational efficiency.
Produce explicit technical documentation — model design documents, feature specifications, and deployment runbooks.

What We're Looking For
6+ years of ML development experience with solid Pytho

📌 Ml Developer Gurugram
🏢 Accolite Digital India
📍 Gurugram