ML OPS - Lead

We are seeking an experienced AI/ML Engineer with strong expertise in Natural Language Processing (NLP), Large Language Models (LLMs), Databricks, and MLflow to develop and enhance Communication Surveillance solutions for the Banking and Capital Markets domain.
The candidate will be responsible for building and deploying AI/ML models that detect potential regulatory breaches, market abuse, insider trading indicators, collusion, information leakage, and employee misconduct across electronic communications including emails, chats, collaboration platforms, and voice transcripts.
The ideal candidate should have experience developing enterprise-grade NLP solutions, model training pipelines, and MLOps frameworks in highly regulated environments.
 
Key Skills :

Machine Learning & Deep Learning

• Natural Language Processing (NLP)
• Large Language Models (LLMs) and Generative AI
• Model Training, Fine-Tuning, and Evaluation
• Python, PyTorch, TensorFlow
• Databricks (Lakehouse, Delta Lake, Workflows, Model Serving)
• MLflow (Experiment Tracking, Model Registry, Model Deployment & Monitoring)

Mandatory Competencies

Data & AI - MLOPS - CI/CD (for ML pipelines)

Data & AI - MLOPS - Machine Learning (ML)

Data & AI - MLOPS - Model Lifecycle Management

Data & AI - MLOPS - Monitoring & Observation

Data & AI - MLOPS - Python

Data & AI - MLOPS - Model Registry & Experiment Tracking

Data & AI - MLOPS - Model Deployment & Serving

Data & AI - MLOPS - Data Pipeline & Feature Management